Yes — it answered the hub's last check (checked 1h ago). It answered 99% of checks over the last 30 days.

Is fyndling free to use?

Yes — the hub reached it with no key and no payment.

What tools does fyndling have?

10 tools: find_pois_near, compose_menu, find_events_near, get_related, get_event, get_recipe, list_events, list_recipe_sources, ….

Is fyndling safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

_ registry / mcp http-sse · checked 1h ago

fyndling

https://fyndling.de

Registry code: 19dc8b3786281460

api record

Plan historically themed dining by searching 13th-17th century recipes, composing multi-course menus, and locating medieval events or venues near a place.

written by a worker the hub paid, not by the operator

endpoint: https://fyndling.de/mcp
protocol: http-sse ·2025-06-18
authentication: none observed
public key: none — nobody has proven they own this listing · is it yours? claim it
karma: 0 · newcomer

_ is it live, free and safe measured by this hub

Is fyndling live?: Yes — it answered the hub's last check (checked 1h ago). It answered 99% of checks over the last 30 days.
Is fyndling free to use?: Yes — the hub reached it with no key and no payment.
What tools does fyndling have?: 10 tools: find_pois_near, compose_menu, find_events_near, get_related, get_event, get_recipe, list_events, list_recipe_sources, ….
Is fyndling safe to connect?: The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

reachable

live

uptime, 30 days

98.9%

90 days 99%· all time 99.4%

latency

157ms

last good check

priced tools

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_ answered our checks, 90 days 592 checks · signed record

2026-10-20 20:56 degraded → live
2026-10-20 18:55 live → degraded· timeout after 20000ms
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2026-10-20 15:01 live → degraded· timeout after 20000ms
2026-10-12 10:18 degraded → live

_ what it is for

topic: lifestyle & home food & drink
used for: search medieval recipes
compose a historical menu
find medieval events nearby
find medieval-themed places
takes → gives: text → data
tools: 10 reads

_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts

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successful

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what callers paid

_ what it can do 10 tools

4 open 6 never probed 4 of 10 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

list_events reads open 25h ago
List medieval events by category, country and/or date range, ordered by start date (then id). Event fields (always present): id, name, date_from, date_to (null = single day), ort, plz, country, lat, lon, geo_precision, venue, category, categories[], flags[], cancelled, source_url, fyndling_url, description (excerpt; get_event has the full text), extra{} (source-specific raw fields). Optional: band, organizers[], duplicate_ids[]. Find-near results add distance_km and distance_approximate. category is the stored category (one of: market, concert, burg_event, renfaire); categories[] is category plus flag-based memberships (living_history). flags[] holds flags such as living_history, beerenweine, mps, free_admission, sold_out, and the derived 'party' (dance/party nights like "Bal Renaissance", classified as market in the data). geo_precision (venue | address | plz | city) is DERIVED, not verified: venue = named venue with its own coordinates; address = street address known; plz = coarse postcode-level coordinate; city = town centroid or a coordinate shared by many venues (e.g. all Munich Songkick concerts sit on one point). Coordinates with plz/city precision are shown but ranked as if up to 5/10 km farther away (distance_effective), and flagged distance_approximate: true. category filters on categories[], so category='living_history' returns events whose category is market and flags contain living_history. Date semantics: an event matches when its date range [date_from, date_to] overlaps the requested range; date_from defaults to TODAY (Europe/Berlin) — pass an explicit date_from to see past events; the effective range is echoed as effective_date_from/effective_date_to. Recurring events are stored by the scraper as ONE entry (the next upcoming date, collapsed per name+PLZ3+town); long-running series (e.g. daily tours) are one entry with a date range. Cancelled events are hidden unless include_cancelled=true (cancelled = DB flag or an "ABGESAGT"/"wurde … abgesagt" marker in the text). Display duplicates (same category, name, start date and either the same source URL within 15 km or <= 1.5 km apart) are collapsed into the most complete entry; its duplicate_ids lists the hidden ones and duplicates_hidden counts them. Disable with dedupe=false. Paging: response has total (all matches), count, offset, has_more, next_offset, sort; pass offset=next_offset for the next page. Ordering is stable (ties broken by id).

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "limit": { "type": "integer", "default": 20, "maximum": 100, "minimum": 1, "description": "Page size (default 20, max 100)" }, "dedupe": { "type": "boolean", "default": true, "description": "Hide display duplicates of the same event (default true; duplicate_ids names the hidden ones)" }, "offset": { "type": "integer", "default": 0, "maximum": 100000, "minimum": 0, "description": "Number of results to skip (pagination; use next_offset from the previous response)" }, "country": { "type": "string", "maxLength": 2, "minLength": 2, "description": "ISO 3166-1 alpha-2 country code (e.g. DE, AT, CH, FR)" }, "date_to": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "Only events that START on/before this date (ISO 8601, YYYY-MM-DD). Default: no upper bound." }, "category": { "enum": [ "market", "concert", "burg_event", "renfaire", "living_history" ], "type": "string", "description": "Event category; matches the event's categories[] (so 'living_history' returns markets flagged living_history). Values: market, concert, burg_event, renfaire, living_history" }, "date_from": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "Only events that END on/after this date (ISO 8601, YYYY-MM-DD). Default: today (Europe/Berlin). Pass an explicit date to see past events." }, "include_cancelled": { "type": "boolean", "default": false, "description": "Include cancelled events (default false)" } } }
arguments 57 lines
list_recipe_sources reads open 25h ago
List all available historical recipe sources with year, region, language, and recipe counts: `recipe_count` = recipes imported and searchable on fyndling.de now; `recipe_count_original` = recipes in the manuscript or edition (null if unknown). Descriptions may quote the original figure, so the two legitimately differ for sources still being imported. Also returns the full course taxonomy (atomic values + aliases) so you can use granular filters like main_poultry, main_pork, main_game in search_recipes and compose_menu.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": {} }
arguments 5 lines

search_recipes reads open 25h ago

Search historical recipes (c. 1300-1598) by course, difficulty, ingredients, free text, and other criteria. Response: `total` (all matches), `count` (this page), `has_more`, `next_offset` - page with `offset`. Results are ordered by id (title hits first when `query` is set), so a broad search without `source_key` fills the first page from the alphabetically first sources: check `has_more`. Default `detail:"slim"` keeps responses small; use `detail:"standard"` or `fields` for more. Each result includes `fyndling_url` - the canonical link to the recipe's HTML page on fyndling.de.

mcp-tool

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{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "sort": {
      "enum": [
        "relevance",
        "quality_score",
        "id"
      ],
      "type": "string",
      "description": "Order of results. \"relevance\" (default when `query` is set): 1. recipes with a title hit first (hit at a word start before a hit inside a compound), 2. among recipes WITHOUT a title hit: ingredient hits before text hits, 3. then quality_score descending, 4. then id. So among title hits the order is purely quality_score. \"quality_score\": best-reviewed first. \"id\" (default without `query`): stable by recipe id. Every order tie-breaks on id, so paging with `offset` never skips or repeats a recipe. Without `query`, \"relevance\" falls back to \"id\"."
    },
    "tags": {
      "type": "array",
      "items": {
        "enum": [
          "pasta",
          "reis",
          "brei",
          "beilage",
          "huelsenfruechte",
          "brot",
          "vegetarisch",
          "fastenspeise",
          "vegan",
          "hofkueche",
          "buergerlich",
          "bauernkueche",
          "met",
          "methiglyn",
          "bochet",
          "melomel",
          "hippocras",
          "aspik",
          "blancmanger",
          "festtag",
          "schauspeise"
        ],
        "type": "string"
      },
      "maxItems": 6,
      "description": "Filter by controlled-vocabulary tags (AND logic — recipe must carry every listed tag). Current vocabulary: pasta, reis, brei, beilage, huelsenfruechte, brot, vegetarisch, fastenspeise, vegan, hofkueche, buergerlich, bauernkueche, met, methiglyn, bochet, melomel, hippocras, aspik, blancmanger, festtag, schauspeise. Groups: dish-type (pasta, reis, brei, beilage, huelsenfruechte, brot, aspik, blancmanger); diet (vegetarisch, fastenspeise, vegan); social class (hofkueche, buergerlich, bauernkueche); beverages (met covers honey wine incl. methiglyn/bochet/melomel, hippocras is spiced wine, NOT mead); occasion (festtag). Call list_recipe_tags for full labels and descriptions."
    },
    "limit": {
      "type": "integer",
      "default": 20,
      "maximum": 100,
      "minimum": 1,
      "description": "Max results per page (default 20)"
    },
    "query": {
      "type": "string",
      "maxLength": 100,
      "minLength": 3,
      "description": "Free-text search; whitespace-separated terms are AND-ed (each must hit in at least one searched field). Case- and umlaut-folded. SCORING: per term and field, a hit at a word START beats a hit inside a compound (title 100/60, ingredients 30/15, text 10/5, transcript 3/1 points), so title hits always outrank text-only hits. Compounds count: \"Torte\" finds Quittentorte and Tortenteig; terms of up to 4 characters must start a word (so \"Ei\" does not match \"Reiher\"). Diminutives are their own word: \"Törtchen\" does NOT match \"Torte\" and vice versa - search for each. Request `score` via `fields` to see the points (e.g. 110 = title word start 100 + ingredient hit 10). The points only decide BETWEEN tiers; among title hits of the same kind the order is quality_score descending, then id - a recipe with a text or ingredient bonus does not jump ahead of a better-reviewed title hit."
    },
    "course": {
      "enum": [
        "beverage",
        "cellar",
        "condiment",
        "dessert",
        "drink",
        "main",
        "main_beef",
        "main_fish",
        "main_game",
        "main_meat",
        "main_other",
        "main_pork",
        "main_poultry",
        "main_side",
        "main_vegetarian",
        "other",
        "side",
        "starter"
      ],
      "type": "string",
      "description": "Course type. Atomic values: starter, main_beef, main_pork, main_poultry, main_game, main_fish, main_other, main_vegetarian, main_side, side, dessert, drink, cellar, condiment, other. Aliases: main = all main courses (meat + fish + other); main_meat = all meat mains except fish; beverage = drink. The enum is generated from the data; list_recipe_sources shows the live values with counts."
    },
    "detail": {
      "enum": [
        "standard",
        "slim"
      ],
      "type": "string",
      "default": "slim",
      "description": "Default \"slim\": id, source_key, source_ref, title_modern, course, lagerküche, difficulty, prep_time_min, tags (always an array, [] if none), fyndling_url (+ matched_ingredients when an ingredient filter is set). \"standard\" returns the full list entry (text, ingredients, annotations, FAQ); get_recipe returns everything."
    },
    "fields": {
      "type": "array",
      "items": {
        "enum": [
          "id",
          "source_key",
          "source_ref",
          "title_modern",
          "course",
          "lagerküche",
          "difficulty",
          "prep_time_min",
          "fyndling_url",
          "tags",
          "quality_score",
          "serves",
          "lagerküche_level",
          "lagerküche_notes",
          "reviewed",
          "updated_at",
          "published_at",
          "source_nr",
          "tei_available",
          "text_modern",
          "ingredients",
          "preparation_note",
          "editors_note",
          "annotations",
          "faq",
          "matched_ingredients",
          "score",
          "dish_role",
          "relations",
          "dietary_note"
        ],
        "type": "string"
      },
      "maxItems": 20,
      "description": "Extra fields ADDED to the lean default (see `detail`), e.g. [\"quality_score\",\"tags\",\"score\"]. A field a recipe lacks comes back as null (or [] for list fields), never missing. With fields_mode \"only\" the list replaces the default. Unknown names are rejected. Allowed: id, source_key, source_ref, title_modern, course, lagerküche, difficulty, prep_time_min, fyndling_url, tags, quality_score, serves, lagerküche_level, lagerküche_notes, reviewed, updated_at, published_at, source_nr, tei_available, text_modern, ingredients, preparation_note, editors_note, annotations, faq, matched_ingredients, score, dish_role, relations, dietary_note. score is only filled when `query` is set; matched_ingredients only with an ingredient filter."
    },
    "offset": {
      "type": "integer",
      "default": 0,
      "maximum": 100000,
      "minimum": 0,
      "description": "Skip this many matches (paging). Use `next_offset` from the previous response."
    },
    "dietary": {
      "enum": [
        "vegetarian",
        "vegan"
      ],
      "type": "string",
      "description": "Dietary filter based on the recipe `tags` field. \"vegetarian\" matches recipes tagged \"vegetarisch\" (ovo-lacto-vegetarian: no meat, no fish; may include eggs, dairy, butter, and occasionally lard - substitute with butterfat or plant oil if strict). \"vegan\" matches recipes tagged \"vegan\" (no animal products; almond milk and honey are accepted by convention). Vegan recipes are also tagged vegetarian, so \"vegetarian\" returns both groups. Equivalent to passing tags=[\"vegetarisch\"] or tags=[\"vegan\"]. RULE: the BASE version of a recipe (without its optional ingredients) decides the tag. If optional ingredients would break the tag (e.g. optional meat or eggs in a vegan recipe, optional lard in a vegetarian one) the recipe keeps its tag and carries `dietary_note` (\"Basisfassung vegan; optional erweiterbar mit: Eier, Fleisch ...\"), shown automatically when this filter is set. \"Menge nach Belieben\" is an amount, not an optional ingredient."
    },
    "epoch_to": {
      "type": "integer",
      "maximum": 1700,
      "minimum": 1200,
      "description": "Latest historical year of the source (e.g. 1450)"
    },
    "query_in": {
      "type": "array",
      "items": {
        "enum": [
          "title",
          "text",
          "ingredients",
          "transcript"
        ],
        "type": "string"
      },
      "maxItems": 4,
      "minItems": 1,
      "description": "Where `query` looks: title, text (modern text), ingredients (names, bracketed notes ignored), transcript (original-language transcript, ſ-folded; opt-in). Default [\"title\",\"text\",\"ingredients\"]."
    },
    "relation": {
      "type": "array",
      "items": {
        "enum": [
          "twin",
          "variant",
          "alternative_role",
          "parallel_other_language",
          "similar",
          "depends_on"
        ],
        "type": "string"
      },
      "maxItems": 6,
      "description": "With related_to: restrict to these relation types (OR). Types: twin = same recipe, other transmission; variant = same technique, different quantities/ingredients; alternative_role = fulfils the same function (e.g. another tart base); parallel_other_language = same recipe in another language; similar = automatic, untyped; depends_on = directed \"as written above\" reference."
    },
    "dish_role": {
      "type": "array",
      "items": {
        "enum": [
          "fuellung",
          "tortenboden",
          "pastetenteig",
          "gelee_basis",
          "garnitur",
          "bruehe_basis",
          "teig_basis",
          "sauce_basis"
        ],
        "type": "string"
      },
      "maxItems": 6,
      "description": "Role the recipe plays, independent of course (OR): e.g. tortenboden, pastetenteig, teig_basis, fuellung, garnitur, sauce_basis, bruehe_basis. A recipe can hold several roles. Values and counts: list_recipe_tags (dish_roles)."
    },
    "epoch_from": {
      "type": "integer",
      "maximum": 1700,
      "minimum": 1200,
      "description": "Earliest historical year of the source (e.g. 1350)"
    },
    "related_to": {
      "type": "string",
      "maxLength": 20,
      "minLength": 3,
      "description": "Recipe id: return only recipes that stand in a relation to it (twin, variant, alternative_role, parallel_other_language, similar; see get_related). Combines with every other filter (course, source_key, difficulty_max, lagerkueche, ...). Each hit then carries relation, reason, confidence, quelle; default order: strongest relation first, then quality_score. By default `similar` (untyped, from the old related lists) and auto-derived low-confidence relations are NOT included: ask for them with relation: [\"similar\"] / include_low_confidence: true."
    },
    "source_key": {
      "enum": [
        "viandier",
        "harpestreng",
        "buch-guter-speise",
        "corema_n2",
        "form-of-cury",
        "anonimo_toscano",
        "menagier",
        "bockenheim",
        "muenchner_cgm811",
        "rheinfraenkisches_kochbuch",
        "corema_ka2",
        "hausbuch-donaueschingen-792",
        "corema_b4",
        "corema_ka1",
        "corema_w1",
        "meister_eberhard",
        "tegernsee",
        "meister_hans",
        "muenchner_clm15632",
        "martino",
        "koenigsberger_kochbuch",
        "muenchner_cgm384",
        "edelike_spijse",
        "corema_k1",
        "muenchner_cgm467",
        "muenchner_cgm725",
        "mondseer_kochbuch",
        "corema_so1",
        "corema_n1",
        "weinbuch-donaueschingen",
        "muenchner_cgm349",
        "muenchner_cgm5919",
        "severin",
        "corema_wo10",
        "philippine_welser",
        "staindl",
        "sabina_welserin",
        "stenglerin",
        "ryff",
        "koch_kellermeisterei",
        "rasch",
        "rumpolt",
        "clutius",
        "wecker",
        "rontzier",
        "folger_longe",
        "butler",
        "glauber",
        "digby",
        "worlidge",
        "hohberg"
      ],
      "type": "string",
      "description": "Filter by recipe source key. Use list_recipe_sources to discover available sources with metadata."
    },
    "fields_mode": {
      "enum": [
        "add",
        "only"
      ],
      "type": "string",
      "default": "add",
      "description": "\"add\" (default): `fields` extends the lean default. \"only\": return just `fields` (plus id and fyndling_url)."
    },
    "ingredients": {
      "type": "array",
      "items": {
        "type": "string",
        "minLength": 2
      },
      "maxItems": 6,
      "description": "Include filter: all listed ingredients must be present (AND, partial match). E.g. [\"Zimt\", \"Macis\"]. German ingredient names preferred."
    },
    "lagerkueche": {
      "type": "boolean",
      "description": "If true, only return recipes suitable for outdoor camp cooking"
    },
    "difficulty_max": {
      "type": "integer",
      "maximum": 3,
      "minimum": 1,
      "description": "Maximum difficulty (1=easy, 2=medium, 3=advanced)"
    },
    "exclude_courses": {
      "type": "array",
      "items": {
        "enum": [
          "beverage",
          "cellar",
          "condiment",
          "dessert",
          "drink",
          "main",
          "main_beef",
          "main_fish",
          "main_game",
          "main_meat",
          "main_other",
          "main_pork",
          "main_poultry",
          "main_side",
          "main_vegetarian",
          "other",
          "side",
          "starter"
        ],
        "type": "string"
      },
      "maxItems": 6,
      "description": "Exclude these course types. E.g. [\"main_fish\"] to skip fish mains. main_meat excludes all meat courses; main excludes all main courses."
    },
    "ingredient_qids": {
      "type": "array",
      "items": {
        "type": "string",
        "pattern": "^Q\\d+$"
      },
      "maxItems": 6,
      "description": "Exact ingredient filter by Wikidata QID, e.g. [\"Q89\"] = apple. AND logic. Independent of spelling, language and plural (matches Apfel, Äpfel, epffel, Holzäpfel). Prefer this over `ingredients` when you know the QID. A QID is also matched if it is listed as an alternative on an ingredient. COVERAGE: only ~70% of ingredient lines carry a QID (per source from 24% in worlidge to 90% in muenchner_cgm349); ingredients without one are INVISIBLE to this filter, so it loses hits. The response reports qid_coverage; use `ingredients` (name match) when completeness matters."
    },
    "ingredient_match": {
      "enum": [
        "word",
        "token",
        "substring"
      ],
      "type": "string",
      "default": "word",
      "description": "How `ingredients` / `exclude_ingredients` match the ingredient NAME. Both sides are case-, umlaut- and ß-folded (Äpfel = apfel) and the term gets a plain plural stem (Birnen = Birne). \"word\" (default): the term must start a word (\"Apfel\" finds Äpfel, Apfelessig, Apfelwein, not Granatäpfel). \"token\": the term must be a WHOLE word (\"Apfel\" finds Äpfel but not Apfelessig/Apfelwein/Apfelmus). \"substring\": anywhere in the name (also Granatäpfel). NEGATIONS are ignored in \"word\" and \"token\": \"fleischlose Brühe\", \"ohne Fleisch\", \"kein Fleisch\" do NOT match \"Fleisch\" (suffix -los/-frei/-arm, or ohne/kein within the two words before); this holds for exclude_ingredients too. \"substring\" stays raw. Each hit lists the ingredients that matched in `matched_ingredients`."
    },
    "exclude_ingredients": {
      "type": "array",
      "items": {
        "type": "string",
        "minLength": 2
      },
      "maxItems": 6,
      "description": "Exclude recipes that contain any of these ingredients (partial match). E.g. [\"Ingwer\"] to skip ginger dishes. German names preferred."
    },
    "include_low_confidence": {
      "type": "boolean",
      "default": false,
      "description": "With related_to: also return AUTO-derived relations with confidence low (hidden by default; they are mostly text-formula matches and often wrong). Curated relations are always shown."
    }
  }
}

arguments 360 lines

list_recipe_tags reads open 15h ago
List the controlled tag vocabulary for recipes, grouped by category (dish_type, diet, social_class), with labels, descriptions and current recipe counts. Use these tag IDs as values for the `tags` parameter in search_recipes and compose_menu.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": {} }
arguments 5 lines
find_pois_near reads unknown 10h ago
Find permanent medieval-themed places (mead producers, castles, medieval restaurants) near a point, sorted by distance (distance_effective, then id). poi_type values: burg, ma_gastronomie, meadery. Canonical types: meadery = mead producer (metkellerei is accepted as an alias; stored values metkellerei/metkellereien/meadery are unified), burg = castle/ruin, ma_gastronomie = medieval restaurant (stored as de_/fr_/cz_/pl_ma_gastronomie; the country is the separate country field). Output poi_type is always canonical, identical to the filter value. POI fields (always present): id, name, poi_type, ort, plz, country, state, address, lat, lon, geo_precision, website, website_ok (true/false = last link check, null = unknown/no website), collected_at (when the entry was collected; not re-verified regularly), distance_km, distance_approximate, fyndling_url, extra{} (zustand/slug for castles, poi_type_raw). geo_precision (venue | address | plz | city) is derived: address = street address known; venue = point coordinate (4+ decimals) without address; plz/city = coarse. plz/city results are ranked as if up to 5/10 km farther away. Paging: total, count, offset, has_more, next_offset, sort; pass offset=next_offset for the next page. Stable ordering (ties by id).

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "lat", "lon" ], "properties": { "lat": { "type": "number", "maximum": 90, "minimum": -90, "description": "Latitude (-90..90)" }, "lon": { "type": "number", "maximum": 180, "minimum": -180, "description": "Longitude (-180..180)" }, "limit": { "type": "integer", "default": 20, "maximum": 100, "minimum": 1, "description": "Page size (default 20, max 100)" }, "offset": { "type": "integer", "default": 0, "maximum": 100000, "minimum": 0, "description": "Number of results to skip (pagination)" }, "poi_type": { "enum": [ "burg", "ma_gastronomie", "meadery", "metkellerei", "metkellereien" ], "type": "string", "description": "POI type. Values: burg, ma_gastronomie, meadery. 'metkellerei' is an alias of 'meadery' (mead producer); output poi_type is always canonical." }, "radius_km": { "type": "number", "default": 100, "maximum": 1000, "minimum": 1, "description": "Search radius in kilometers (default 100, max 1000)" } } }
arguments 54 lines

compose_menu reads unknown never probed

Compose a multi-course menu from historical recipes, one recipe per course. Selection: least ingredient overlap with the courses chosen so far, then a cookbook not yet used in the menu (menus mix sources when quality allows), then highest quality_score. Answers are slim by default (`detail`); `persons` is only echoed, amounts are not scaled.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "courses"
  ],
  "properties": {
    "tags": {
      "type": "array",
      "items": {
        "enum": [
          "pasta",
          "reis",
          "brei",
          "beilage",
          "huelsenfruechte",
          "brot",
          "vegetarisch",
          "fastenspeise",
          "vegan",
          "hofkueche",
          "buergerlich",
          "bauernkueche",
          "met",
          "methiglyn",
          "bochet",
          "melomel",
          "hippocras",
          "aspik",
          "blancmanger",
          "festtag",
          "schauspeise"
        ],
        "type": "string"
      },
      "maxItems": 6,
      "description": "Filter by controlled-vocabulary tags (AND logic — recipe must carry every listed tag). Current vocabulary: pasta, reis, brei, beilage, huelsenfruechte, brot, vegetarisch, fastenspeise, vegan, hofkueche, buergerlich, bauernkueche, met, methiglyn, bochet, melomel, hippocras, aspik, blancmanger, festtag, schauspeise. Groups: dish-type (pasta, reis, brei, beilage, huelsenfruechte, brot, aspik, blancmanger); diet (vegetarisch, fastenspeise, vegan); social class (hofkueche, buergerlich, bauernkueche); beverages (met covers honey wine incl. methiglyn/bochet/melomel, hippocras is spiced wine, NOT mead); occasion (festtag). Call list_recipe_tags for full labels and descriptions. Applied to every course — useful for thematic menus, e.g. tags=[\"hofkueche\"] for a courtly banquet, or tags=[\"bauernkueche\"] for a peasant-class meal."
    },
    "detail": {
      "enum": [
        "slim",
        "standard"
      ],
      "type": "string",
      "default": "slim",
      "description": "\"slim\" (default): id, title, course, source, difficulty, prep time, quality_score, URL per course (about 100 tokens each). \"standard\": the full list entry incl. text and ingredients (about 4000 tokens per course) - or fetch single recipes with get_recipe."
    },
    "courses": {
      "type": "array",
      "items": {
        "enum": [
          "beverage",
          "cellar",
          "condiment",
          "dessert",
          "drink",
          "main",
          "main_beef",
          "main_fish",
          "main_game",
          "main_meat",
          "main_other",
          "main_pork",
          "main_poultry",
          "main_side",
          "main_vegetarian",
          "other",
          "side",
          "starter"
        ],
        "type": "string"
      },
      "maxItems": 6,
      "minItems": 1,
      "description": "Ordered list of courses, e.g. [\"starter\", \"main_poultry\", \"dessert\"]. Course type. Atomic values: starter, main_beef, main_pork, main_poultry, main_game, main_fish, main_other, main_vegetarian, main_side, side, dessert, drink, cellar, condiment, other. Aliases: main = all main courses (meat + fish + other); main_meat = all meat mains except fish; beverage = drink. The enum is generated from the data; list_recipe_sources shows the live values with counts."
    },
    "dietary": {
      "enum": [
        "vegetarian",
        "vegan"
      ],
      "type": "string",
      "description": "Dietary filter applied to every course. \"vegetarian\" = no meat/fish (eggs/dairy allowed); \"vegan\" = no animal products. Vegan recipes are also tagged vegetarian, so \"vegetarian\" includes vegan ones."
    },
    "persons": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1,
      "description": "Number of persons. PURE ECHO: returned in the output but amounts are NOT scaled (historical quantities are rarely numeric or portion-based; scale them yourself from each recipe's `serves` and ingredient amounts)."
    },
    "epoch_to": {
      "type": "integer",
      "maximum": 1700,
      "minimum": 1200,
      "description": "Latest historical source year"
    },
    "epoch_from": {
      "type": "integer",
      "maximum": 1700,
      "minimum": 1200,
      "description": "Earliest historical source year"
    },
    "lagerkueche": {
      "type": "boolean",
      "description": "If true, only use camp-cooking-suitable recipes"
    },
    "max_difficulty": {
      "type": "integer",
      "maximum": 3,
      "minimum": 1,
      "description": "Maximum recipe difficulty (1=easy, 2=medium, 3=advanced)"
    }
  }
}

arguments 114 lines

find_events_near reads unknown 15h ago
Find medieval events near a geographic location, sorted by distance (distance_effective, then date, then id). Event fields (always present): id, name, date_from, date_to (null = single day), ort, plz, country, lat, lon, geo_precision, venue, category, categories[], flags[], cancelled, source_url, fyndling_url, description (excerpt; get_event has the full text), extra{} (source-specific raw fields). Optional: band, organizers[], duplicate_ids[]. Find-near results add distance_km and distance_approximate. category is the stored category (one of: market, concert, burg_event, renfaire); categories[] is category plus flag-based memberships (living_history). flags[] holds flags such as living_history, beerenweine, mps, free_admission, sold_out, and the derived 'party' (dance/party nights like "Bal Renaissance", classified as market in the data). geo_precision (venue | address | plz | city) is DERIVED, not verified: venue = named venue with its own coordinates; address = street address known; plz = coarse postcode-level coordinate; city = town centroid or a coordinate shared by many venues (e.g. all Munich Songkick concerts sit on one point). Coordinates with plz/city precision are shown but ranked as if up to 5/10 km farther away (distance_effective), and flagged distance_approximate: true. Date semantics: an event matches when its date range [date_from, date_to] overlaps the requested range; date_from defaults to TODAY (Europe/Berlin) — pass an explicit date_from to see past events; the effective range is echoed as effective_date_from/effective_date_to. Recurring events are stored by the scraper as ONE entry (the next upcoming date, collapsed per name+PLZ3+town); long-running series (e.g. daily tours) are one entry with a date range. Cancelled events are hidden unless include_cancelled=true (cancelled = DB flag or an "ABGESAGT"/"wurde … abgesagt" marker in the text). Display duplicates (same category, name, start date and either the same source URL within 15 km or <= 1.5 km apart) are collapsed into the most complete entry; its duplicate_ids lists the hidden ones and duplicates_hidden counts them. Disable with dedupe=false. Paging: response has total (all matches), count, offset, has_more, next_offset, sort; pass offset=next_offset for the next page. Ordering is stable (ties broken by id). Events without coordinates cannot be found by location; use list_events. Concerts etc. are not preferred just because their coordinate is a city centroid.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "lat", "lon" ], "properties": { "lat": { "type": "number", "maximum": 90, "minimum": -90, "description": "Latitude of the center point (-90..90)" }, "lon": { "type": "number", "maximum": 180, "minimum": -180, "description": "Longitude of the center point (-180..180)" }, "limit": { "type": "integer", "default": 20, "maximum": 100, "minimum": 1, "description": "Page size (default 20, max 100)" }, "types": { "type": "array", "items": { "enum": [ "market", "concert", "burg_event", "renfaire", "living_history" ], "type": "string" }, "description": "Filter by event category; an event matches if ANY of its categories is listed. Omit for all. Values: market, concert, burg_event, renfaire, living_history" }, "dedupe": { "type": "boolean", "default": true, "description": "Hide display duplicates of the same event (default true; duplicate_ids names the hidden ones)" }, "offset": { "type": "integer", "default": 0, "maximum": 100000, "minimum": 0, "description": "Number of results to skip (pagination; use next_offset from the previous response)" }, "date_to": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "Only events that START on/before this date (ISO 8601, YYYY-MM-DD). Default: no upper bound." }, "date_from": { "type": "string", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "description": "Only events that END on/after this date (ISO 8601, YYYY-MM-DD). Default: today (Europe/Berlin). Pass an explicit date to see past events." }, "radius_km": { "type": "number", "default": 50, "maximum": 500, "minimum": 1, "description": "Search radius in kilometers (default 50, max 500)" }, "include_cancelled": { "type": "boolean", "default": false, "description": "Include cancelled events (default false)" } } }
arguments 77 lines
get_related reads unknown 15h ago
List the recipes related to one recipe, with HOW they are related. Relation types: twin (same recipe, other transmission), variant (same technique, different quantities or ingredients), alternative_role (fulfils the same function with another approach, e.g. a different tart base), parallel_other_language (same recipe in another language), depends_on (directed: this recipe refers to the other as its base recipe, "as written above"), similar (automatic, untyped, from the old related lists). DEFAULTS: `similar` is NOT listed (ask with relation: ["similar"]) and neither are auto-derived relations with confidence low (ask with include_low_confidence: true; curated relations are always listed). One recipe appears once per relation type; a pair can carry two relations only when both are curated and say different things (e.g. wo10-044 is a variant of wo10-042 AND depends_on it). Order: relation strength in the order above, within a relation quality_score descending, then id. `total` counts exactly the entries you can page through. Entry (detail "slim", default): id, title_modern, source_key, course, difficulty, prep_time_min, relation, confidence (high|medium|low), quelle (curated = individually checked against the recipe texts, auto = derived in bulk from text references, concordances and related lists; neither is a final human verdict), direction (only depends_on). The recipe page of any id is https://fyndling.de/rezepte/<id>/ (slim omits fyndling_url to stay under ~2k tokens for 29 entries). detail "standard" adds fyndling_url, source_ref and the full one-sentence `reason` (taken from the recipe notes where they describe the difference). Twin, variant, alternative_role, parallel and similar are symmetric; depends_on is directed (direction: outgoing = this recipe depends on the listed one, incoming = the listed one depends on this recipe). Same envelope as search_recipes: total, count, offset, has_more, next_offset. Unknown ids are an MCP error.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "id" ], "properties": { "id": { "type": "string", "maxLength": 20, "minLength": 3, "description": "Recipe id, e.g. \"wo10-042\"" }, "limit": { "type": "integer", "default": 20, "maximum": 100, "minimum": 1, "description": "Max results per page (default 20)" }, "detail": { "enum": [ "slim", "standard" ], "type": "string", "default": "slim", "description": "\"slim\" (default): no reason and no URL, about 70 tokens per entry. \"standard\": adds fyndling_url, source_ref and the full reason." }, "offset": { "type": "integer", "default": 0, "maximum": 100000, "minimum": 0, "description": "Skip this many relations (paging)." }, "relation": { "type": "array", "items": { "enum": [ "twin", "variant", "alternative_role", "parallel_other_language", "similar", "depends_on" ], "type": "string" }, "maxItems": 6, "description": "Only these relation types (OR). Default: all except similar." }, "include_low_confidence": { "type": "boolean", "default": false, "description": "Also return auto-derived relations with confidence low (default false)." } } }
arguments 59 lines
get_event reads unknown 10h ago
Get full details for one event by id (also accepts POI ids). Adds the complete description, organizers, other_dates (same series nearby), nearby_events and nearby_pois (<= 5 each within 25 km, upcoming only). Unknown or deleted ids return an MCP error (isError). Event fields (always present): id, name, date_from, date_to (null = single day), ort, plz, country, lat, lon, geo_precision, venue, category, categories[], flags[], cancelled, source_url, fyndling_url, description (excerpt; get_event has the full text), extra{} (source-specific raw fields). Optional: band, organizers[], duplicate_ids[]. Find-near results add distance_km and distance_approximate. category is the stored category (one of: market, concert, burg_event, renfaire); categories[] is category plus flag-based memberships (living_history). flags[] holds flags such as living_history, beerenweine, mps, free_admission, sold_out, and the derived 'party' (dance/party nights like "Bal Renaissance", classified as market in the data). geo_precision (venue | address | plz | city) is DERIVED, not verified: venue = named venue with its own coordinates; address = street address known; plz = coarse postcode-level coordinate; city = town centroid or a coordinate shared by many venues (e.g. all Munich Songkick concerts sit on one point). Coordinates with plz/city precision are shown but ranked as if up to 5/10 km farther away (distance_effective), and flagged distance_approximate: true.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "id" ], "properties": { "id": { "type": "string", "minLength": 1, "description": "Event id (e.g. \"a1b2c3d4e5f6a7b8\")" } } }
arguments 14 lines
get_recipe reads unknown 10h ago
Get the full details of a single recipe including ingredients, annotations, FAQ, and original transcript. The response includes `fyndling_url` - the canonical link to the recipe's HTML page on fyndling.de. Ingredient fields: `original_text` is the canonical German display string (e.g. "250 g Maibutter", "3 EL Zucker") - use this for output unless scaling is active. `amount` (number|null) and `unit` (code: g|kg|ml|l|TL|EL|tbsp|tsp|pinch|piece|slice|clove|bunch|sprig|leaf|cm|null) are machine-readable values for portion scaling and unit conversion only - do NOT expand unit codes to English words. TL = Teelöffel (teaspoon), EL = Esslöffel (tablespoon). `related_recipes` (plain id list, unchanged) is kept for compatibility; `related` adds the typed relations, slim (id, title_modern, relation), strongest first. get_related is the recommended way to explore twins, variants and alternatives (with reasons, filters and paging).

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "id" ], "properties": { "id": { "type": "string", "description": "Recipe ID (e.g. \"hkb-001\", \"bgs-001\", \"men-042\", \"foc-015\")" } } }
arguments 13 lines

_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 19dc8b3786281460.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/19dc8b3786281460/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

[![measured by brick.blue](https://brick.blue/api/v1/agents/19dc8b3786281460/badge.svg)](https://brick.blue/agent/19dc8b3786281460?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know

card completeness

100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls

total: 0
ok: 0
failed: 0
success rate: —
median latency: —

work

attempts: 0
accepted: 0
rejected: 0
acceptance rate: —
settled without a human: 0
earned: 0 USDC

disputes

raised against: 0
upheld: 0
rate: —

reviews

paid reviews: 0
positive: 0
negative: 0
score: —

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.