gdelt-mcp-server

endpoint

https://gdelt.caseyjhand.com/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 gdelt-mcp-server live?

Yes — it answered the hub's last check (checked 2h ago). It answered 99% of checks over the last 30 days.

Is gdelt-mcp-server free to use?

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

What tools does gdelt-mcp-server have?

9 tools: gdelt_search_themes, gdelt_get_tv_context, gdelt_search_articles, gdelt_get_tv_clips, gdelt_get_coverage_breakdown, gdelt_get_coverage_timeline, gdelt_get_tone_distribution, gdelt_search_tv, ….

Is gdelt-mcp-server 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.

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.

• gdelt_list_tv_stations reads open 15h ago

  List the television stations available for TV search with their market, network, monitoring start date, and monitoring end date — every station by default, or only those matching the optional stations, network, and market filters (each an exact, case-insensitive match; combined with AND). activeCount and totalCount count the returned stations. Stations with an end date within the last 24 hours are flagged as active; stations with earlier end dates are discontinued. Use before querying to verify a station was active during the target time period, or to discover valid station IDs for the stations parameter in other TV tools. Most station monitoring ended October 2024 when the Internet Archive TV feed stopped updating.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "market": {
        "type": "string",
        "description": "Market to narrow to (e.g. \"National\", \"San Francisco\"), matched as a whole value case-insensitively after trimming — \"National\" does not match \"NationalSpecialty\". Values come from the market field of the unfiltered list. Blank is ignored."
      },
      "network": {
        "type": "string",
        "description": "Network to narrow to (e.g. \"CNN\", \"ABC\"), matched as a whole value case-insensitively after trimming — \"FOX\" does not match \"FOXNEWS\". Values come from the network field of the unfiltered list. Blank is ignored."
      },
      "stations": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Station IDs to return (e.g. [\"CNN\", \"FOXNEWS\", \"MSNBC\"]) — the IDs the stations parameter of the other TV tools takes. Matches any listed ID, exactly and case-insensitively after trimming; IDs that match no station are named in the notice. Blank entries are ignored; omit it or pass [] to include every station."
      }
    },
    "additionalProperties": false
  }

  arguments 22 lines copy
• gdelt_search_themes reads unknown 23h ago

  Find GDELT Global Knowledge Graph (GKG) theme identifiers for the theme: operator that gdelt_search_articles, gdelt_get_coverage_timeline, gdelt_get_tone_distribution, and gdelt_get_coverage_breakdown accept in query. Searches the identifiers in the GDELT GKG theme lookup, which carries no labels or descriptions: every query word must begin one of the _-separated parts of an identifier or run across consecutive parts, or all the words joined must, so "drought" finds NATURAL_DISASTER_DROUGHT, "cyberattack" finds CYBER_ATTACK, "plant disease" finds TAX_PLANTDISEASE, and "wb water" narrows to World Bank water themes. There is no stemming or synonym matching — "displacement" does not reach DISPLACED — except one fallback: when nothing matches, the search retries once with a trailing s dropped from each word of four or more letters, and says so. Matches rank an exact identifier first, then by the count the lookup lists — a static prevalence figure, not a live article total — and each carries a paste-ready operator such as theme:TAX_DISEASE_OUTBREAK. Page with offset and limit.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "query"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "default": 25,
        "maximum": 100,
        "minimum": 1,
        "description": "Maximum matches returned in this response (1–100)."
      },
      "query": {
        "type": "string",
        "description": "Words to find in theme identifiers (e.g. \"drought\", \"cyber attack\", \"refugee\"), a family prefix with a word (\"wb water\", \"crisislex\"), or a whole identifier to confirm it is listed (\"TAX_DISEASE_OUTBREAK\"). Case-insensitive; a leading theme: is ignored; every word must match, or all the words joined must (\"plant disease\" matches TAX_PLANTDISEASE). Must contain at least one letter or digit."
      },
      "offset": {
        "type": "integer",
        "default": 0,
        "maximum": 9007199254740991,
        "minimum": 0,
        "description": "Zero-based offset into the ranked matches. Use nextOffset from the preceding response with the same query to retrieve the next page."
      }
    },
    "additionalProperties": false
  }

  arguments 28 lines copy
• gdelt_get_tv_context reads unknown 23h ago

  Get the top co-occurring words and phrases from TV news clips matching a query — the vocabulary framing a topic on television. Returns the most frequent non-stopword terms from matching clips, with relative frequency scores (0–100, where 100 = the query term itself). Use to understand narrative framing, identify related concepts mentioned alongside a topic, or generate follow-up search terms. TV data spans 2009–October 2024.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "query"
    ],
    "properties": {
      "query": {
        "type": "string",
        "minLength": 1,
        "description": "Search query for TV transcript content. Same TV operators as gdelt_search_tv: station:CNN, network:CBS, market:\"National\", show:\"Anderson Cooper\", context:\"vaccine\"."
      },
      "stations": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Station IDs to filter to (e.g. [\"CNN\", \"FOXNEWS\"]). The GDELT TV API requires at least one station — supply it here, or embed a station: selector directly in query. Omitting both is rejected; it does not fall back to all stations. Use gdelt_list_tv_stations to see valid IDs."
      },
      "timespan": {
        "type": "string",
        "description": "Time window, e.g. \"1m\", \"6m\". Ignored when startDatetime/endDatetime are set. TV data spans 2009–October 2024."
      },
      "endDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "End datetime in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20200131235959). Must pair with startDatetime; supplying only one of the two is rejected."
      },
      "startDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "Start datetime in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20200101000000). Must pair with endDatetime; supplying only one of the two is rejected. TV data spans 2009–October 2024."
      }
    },
    "additionalProperties": false
  }

  arguments 36 lines copy
• gdelt_search_articles reads unknown 23h ago

  Search the last 3 months of global news coverage (65+ languages) using the GDELT DOC API. Fetches up to 250 articles with URL, title, source domain, language, country, publication date, and social image URL, and returns as many as fit a 48,000-byte response — the rest are counted in withheldCount, with a continuation to reach them. Query supports full GDELT syntax: phrases ("bird flu"), boolean OR ((flu OR pandemic)), source country (sourcecountry:china), source language (sourcelang:spanish), domain (domain:who.int), GKG theme (theme:TAX_DISEASE_OUTBREAK — find identifiers with gdelt_search_themes), tone filter (tone<-5 for negative), proximity (near20:"flu virus"), and repeat (repeat3:"outbreak"). 250 is a hard per-call ceiling and GDELT offers no cursor: when a query fills it or a response comes back cut, re-query narrower startDatetime/endDatetime windows — the response hands back the exact windows to use. Note: this API covers only the most recent 3 months — use gdelt_search_tv for historical TV transcripts back to 2009.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "query"
    ],
    "properties": {
      "sort": {
        "enum": [
          "relevance",
          "dateDesc",
          "dateAsc",
          "toneDesc",
          "toneAsc",
          "hybridRel"
        ],
        "type": "string",
        "default": "relevance",
        "description": "Sort order: relevance (default), dateDesc/dateAsc, toneDesc/toneAsc, or hybridRel (GDELT hybrid relevance and recency)."
      },
      "query": {
        "type": "string",
        "minLength": 1,
        "description": "Search query. Supports GDELT operators: phrases (\"bird flu\"), boolean OR ((flu OR pandemic)), sourcecountry:china, sourcelang:spanish, domain:who.int, theme:TAX_DISEASE_OUTBREAK (GKG theme identifiers come from gdelt_search_themes), tone<-5, near20:\"flu virus\", repeat3:\"outbreak\"."
      },
      "timespan": {
        "type": "string",
        "description": "Time window relative to now, minimum \"15min\"; other examples: \"24h\", \"7d\", \"1m\". Ignored when startDatetime/endDatetime are set. Maximum is 3 months (the full DOC API window). Defaults to the full 3-month window."
      },
      "maxRecords": {
        "type": "integer",
        "default": 75,
        "maximum": 250,
        "minimum": 1,
        "description": "Maximum number of articles to fetch (1–250); the response carries as many of them as fit its 48,000-byte budget. 250 is GDELT's hard per-call ceiling, not a page size — there is no cursor past it, so a query that fills 250 must be split into narrower startDatetime/endDatetime windows instead."
      },
      "endDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "End of date range in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20240131235959). Must be supplied together with startDatetime; supplying only one of the two is rejected."
      },
      "startDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "Start of date range in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20240101000000). Must be supplied together with endDatetime; supplying only one of the two is rejected."
      }
    },
    "additionalProperties": false
  }

  arguments 49 lines copy
• gdelt_get_tv_clips reads unknown 6h ago

  Retrieve the top matching TV news clips for a query from the Internet Archive's Television News Archive: fetches up to 3,000 and returns as many as fit a 48,000-byte response — the rest are counted in withheldCount, with a continuation to reach them. Each clip includes show name, station, air timestamp, a 15-second transcript excerpt, and a direct link to view the full one-minute clip. Use after gdelt_search_tv to read the actual transcript content driving a coverage spike. GDELT answers TV windows in whole clock hours; clips it returns from outside an explicit startDatetime/endDatetime window are dropped, and continuing a cut response at maxRecords 3000 leaves room for them. 3,000 is a hard per-call ceiling and GDELT offers no cursor: when a query fills it or a response comes back cut, re-query narrower startDatetime/endDatetime windows — the response hands back the exact windows to use. Archive coverage spans 2009–October 2024.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "query"
    ],
    "properties": {
      "sort": {
        "enum": [
          "relevance",
          "dateDesc",
          "dateAsc"
        ],
        "type": "string",
        "default": "relevance",
        "description": "Sort order: relevance (default), dateDesc (newest first), dateAsc (oldest first)."
      },
      "query": {
        "type": "string",
        "minLength": 1,
        "description": "Search query for TV transcript content. Same TV operators as gdelt_search_tv: station:CNN, network:CBS, market:\"National\", show:\"Anderson Cooper\", context:\"vaccine\"."
      },
      "stations": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Station IDs to filter to (e.g. [\"CNN\", \"FOXNEWS\"]). The GDELT TV API requires at least one station — supply it here, or embed a station: selector directly in query. Omitting both is rejected; it does not fall back to all stations. Use gdelt_list_tv_stations to see valid IDs."
      },
      "timespan": {
        "type": "string",
        "description": "Time window, e.g. \"1m\", \"6m\". Ignored when startDatetime/endDatetime are set. TV data spans 2009–October 2024."
      },
      "maxRecords": {
        "type": "integer",
        "default": 50,
        "maximum": 3000,
        "minimum": 1,
        "description": "Maximum number of clips to fetch (1–3000); the response carries as many of them as fit its 48,000-byte budget. 3000 is GDELT's hard per-call ceiling, not a page size — there is no cursor past it, so a query that fills 3000 must be split into narrower startDatetime/endDatetime windows instead."
      },
      "endDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "End datetime in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20200131235959). Must pair with startDatetime; supplying only one of the two is rejected."
      },
      "startDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "Start datetime in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20200101000000). Must pair with endDatetime; supplying only one of the two is rejected."
      }
    },
    "additionalProperties": false
  }

  arguments 53 lines copy
• gdelt_get_coverage_breakdown reads unknown 15h ago

  Break down news coverage volume over time by source language or source country, returning a multi-series time series (one series per language or country). Shows which countries or languages drove early vs. late coverage — useful for tracing how a story propagated geographically or across language communities. Returns up to 10 series by total volume and aggregates the rest into an "Other" bucket, naming every series it folded in there under otherSeriesLabels — pass any of those labels back as the series input to get that series complete, ranked or not. Values are normalized: each point is the topic's share of media output, not an absolute article count. Small media markets with concentrated coverage therefore rank above large markets with diverse output — a high value means the topic dominated that source's coverage, not that it published the most articles. Use breakdownBy "country" with the signal-detection chain to map geographic attention, or "language" to detect non-English media surges.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "query",
      "breakdownBy"
    ],
    "properties": {
      "query": {
        "type": "string",
        "minLength": 1,
        "description": "Search query using GDELT syntax. Same operators as gdelt_search_articles: phrases, boolean OR, sourcecountry:, sourcelang:, domain:, theme: (GKG theme identifiers come from gdelt_search_themes)."
      },
      "series": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Exact series labels to additionally return in full, e.g. [\"Portuguese\", \"Vietnamese\"]. Take them verbatim from otherSeriesLabels (the series folded into \"Other\") or topSeries[].label in a response, or from the label list an unknown_series error prints. Each one comes back complete under selectedSeries, on top of the usual top-10 overview; a label that matches nothing is rejected rather than silently skipped. Omit to get the overview alone."
      },
      "timespan": {
        "type": "string",
        "description": "Time window relative to now, minimum \"15min\"; other examples: \"24h\", \"7d\", \"1m\". Ignored when startDatetime/endDatetime are set. Maximum 3 months."
      },
      "breakdownBy": {
        "enum": [
          "language",
          "country"
        ],
        "type": "string",
        "description": "Breakdown dimension: \"language\" for source language time series, \"country\" for source country time series."
      },
      "endDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "End datetime in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20240131235959). Must pair with startDatetime; supplying only one of the two is rejected."
      },
      "startDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "Start datetime in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20240101000000). Must pair with endDatetime; supplying only one of the two is rejected."
      }
    },
    "additionalProperties": false
  }

  arguments 45 lines copy
• gdelt_get_coverage_timeline reads unknown 15h ago

  Retrieve a time series showing when news coverage of a topic spiked, or how average tone shifted over time. Use mode "volume" for normalized coverage intensity (% of all global coverage per timestep). Use mode "volume_with_articles" for the same signal plus the top articles that drove each spike — this is the primary signal-detection mode: a single call reveals both the spike and its cause, avoiding a follow-up gdelt_search_articles call. Use mode "tone" for average sentiment score per timestep (negative = hostile/fearful, positive = celebratory). Date resolution is inferred from returned intervals: 15 minutes or hours for short windows, days for longer ones. In volume_with_articles mode the text surface shows the first 3 article links per timestep next to that timestep's true article count; name a timestep's date in points to render its full list. Note: DOC API covers only the last 3 months.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "query"
    ],
    "properties": {
      "mode": {
        "enum": [
          "volume",
          "volume_with_articles",
          "tone"
        ],
        "type": "string",
        "default": "volume",
        "description": "Timeline mode: \"volume\" returns normalized coverage % per timestep, \"volume_with_articles\" returns volume plus top articles per spike (best for signal detection), \"tone\" returns average sentiment score per timestep."
      },
      "query": {
        "type": "string",
        "minLength": 1,
        "description": "Search query using GDELT syntax. Same operators as gdelt_search_articles: phrases, boolean OR, sourcecountry:, sourcelang:, domain:, theme: (GKG theme identifiers come from gdelt_search_themes), tone<."
      },
      "points": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Timestep dates whose complete article list should be rendered in the text surface, e.g. [\"2024-01-05T12:00:00Z\"]. Take them verbatim from series[].data[].date in a prior response, or from the list an unknown_point error prints. Only affects volume_with_articles rendering — every timestep already carries its full article list in structuredContent regardless. Timesteps not named here show their first 3 links; a date matching no timestep is rejected rather than silently ignored."
      },
      "timespan": {
        "type": "string",
        "description": "Time window relative to now, minimum \"15min\"; other examples: \"24h\", \"7d\", \"1m\". Ignored when startDatetime/endDatetime are set. Maximum 3 months."
      },
      "smoothing": {
        "type": "integer",
        "maximum": 5,
        "minimum": 0,
        "description": "Smoothing window in timesteps (0 = none, 1–5 = moving average width). Reduces noise for spotty topics."
      },
      "endDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "End datetime in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20240131235959). Must pair with startDatetime; supplying only one of the two is rejected."
      },
      "startDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "Start datetime in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20240101000000). Must pair with endDatetime; supplying only one of the two is rejected."
      }
    },
    "additionalProperties": false
  }

  arguments 52 lines copy
• gdelt_get_tone_distribution reads unknown 6h ago

  Get the tonal distribution of articles matching a query as a histogram (bins approximately -30 to +30). Unlike a single average tone score, the histogram reveals whether coverage is uniformly negative, bimodal (some articles extremely positive and some extremely negative), or clustered near neutral. Each bin includes representative article URLs. Distinct from gdelt_get_coverage_timeline (mode: tone) — this is a snapshot distribution across all matching articles, not a time series. Use gdelt_get_coverage_timeline with mode "tone" to see how sentiment shifted over time.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "query"
    ],
    "properties": {
      "query": {
        "type": "string",
        "minLength": 1,
        "description": "Search query using GDELT syntax. Same operators as gdelt_search_articles: phrases, boolean OR, sourcecountry:, sourcelang:, domain:, theme: (GKG theme identifiers come from gdelt_search_themes)."
      },
      "timespan": {
        "type": "string",
        "description": "Time window relative to now, minimum \"15min\"; other examples: \"24h\", \"7d\", \"1m\". Ignored when startDatetime/endDatetime are set. Maximum 3 months."
      },
      "endDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "End datetime in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20240131235959). Must pair with startDatetime; supplying only one of the two is rejected."
      },
      "startDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "Start datetime in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20240101000000). Must pair with endDatetime; supplying only one of the two is rejected."
      }
    },
    "additionalProperties": false
  }

  arguments 29 lines copy
• gdelt_search_tv reads unknown 6h ago

  Search US television news closed captions (2009–October 2024, 150+ stations) for spoken mentions of a query. Returns a bounded, paged per-station time series showing airtime devoted to the topic. Use the stations parameter to select networks (e.g. ["CNN", "FOXNEWS", "MSNBC"]) — the TV API requires at least one station, supplied either there or as a station: selector inside query. TV query also supports in-query operators: station:CNN, network:CBS, market:"National", show:"Anderson Cooper 360", context:"vaccine". Important: most station monitoring ended October 2024 — use gdelt_list_tv_stations to verify active date ranges before querying recent events.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "query"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "default": 500,
        "maximum": 500,
        "minimum": 1,
        "description": "Maximum timeline points returned in this response (1–500)."
      },
      "query": {
        "type": "string",
        "minLength": 1,
        "description": "Search query for TV transcript content. Supports TV operators: station:CNN, network:CBS, market:\"National\", show:\"Anderson Cooper\", context:\"vaccine\". Boolean OR and phrase operators also work."
      },
      "offset": {
        "type": "integer",
        "default": 0,
        "maximum": 9007199254740991,
        "minimum": 0,
        "description": "Zero-based point offset into the deterministic date-then-station ordering. Use nextOffset from the preceding response with the same query inputs to retrieve the next page."
      },
      "dateres": {
        "enum": [
          "hour",
          "day",
          "week",
          "month",
          "year"
        ],
        "type": "string",
        "description": "Optional GDELT aggregation resolution. Omit to let GDELT choose from the query window; the effective recognized or inferred resolution is returned as dateResolution."
      },
      "stations": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "maxItems": 10,
        "description": "Up to 10 station IDs to filter to (e.g. [\"CNN\", \"FOXNEWS\", \"MSNBC\"]). The GDELT TV API requires at least one station — supply it here, or embed a station: selector directly in query. Omitting both is rejected; it does not fall back to all stations. Use gdelt_list_tv_stations to see valid station IDs."
      },
      "timespan": {
        "type": "string",
        "description": "Time window, e.g. \"1m\", \"6m\", \"1y\". Ignored when startDatetime/endDatetime are set. TV data spans 2009–October 2024."
      },
      "normalize": {
        "type": "boolean",
        "default": true,
        "description": "When true (default), values are normalized as % of total airtime, enabling cross-station comparison. When false, returns raw matching 15-second clip counts."
      },
      "smoothing": {
        "type": "integer",
        "maximum": 5,
        "minimum": 0,
        "description": "Smoothing window in timesteps (0 = none). Reduces noise for sporadic topics."
      },
      "endDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "End datetime in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20200131235959). Must pair with startDatetime; supplying only one of the two is rejected."
      },
      "startDatetime": {
        "type": "string",
        "pattern": "^\\d{14}$",
        "description": "Start datetime in GDELT format YYYYMMDDHHMMSS — exactly 14 digits, no separators (e.g. 20200101000000). Must pair with endDatetime; supplying only one of the two is rejected."
      }
    },
    "additionalProperties": false
  }

  arguments 73 lines copy

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

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.

Served from the same domain, which is what was measured. Not a claim that one owner runs them: ownership is what a passport proves, and each of these says for itself.

• brapi.caseyjhand.com brapi-mcp-server mcp · 22 tools
• usaspending.caseyjhand.com usaspending-mcp-server mcp · 18 tools
• onebusaway.caseyjhand.com onebusaway-mcp-server mcp · 16 tools
• secedgar.caseyjhand.com secedgar-mcp-server mcp · 16 tools
• courtlistener.caseyjhand.com courtlistener-mcp-server mcp · 14 tools
• openfda.caseyjhand.com openfda-mcp-server mcp · 14 tools
• gbif-biodiversity.caseyjhand.com gbif-biodiversity-mcp-server mcp · 13 tools
• openfec.caseyjhand.com openfec-mcp-server mcp · 12 tools

101 more sit on this domain. All of them.