_ registry / mcp streamable-http

aidemos-mcp

https://mcp.aidemos.com

Registry code: 9601406df9b91096

api record

Evidence-backed answers about AI tools, from hands-on testing (published data only). START WITH `answer` for any 'which tool is best at X' question — it returns the resolved verdict in one call: winner for the asked criterion, ranked scores, the conditions each result holds under, dissent preserved, openable proof; it refuses honestly when we never tested the topic. Then: list_* to enumerate use cases, rankings, tools, comparisons, toolkits, personas, and categories; tools_in_ranking / rankings_for_tool to traverse; get_persona for everything tagged to a persona; get_tool / get_ranking /…

endpoint
https://mcp.aidemos.com/mcp
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
unknown
uptime
—
latency
—

last good check

priced tools
0

of 17 tools

_ used through this hub 30 days

The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.

accounts
0

distinct, expensive to fake

calls served
0

successful, last 30 days

_ what it can do 17 tools
17 never probed 0 of 17 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.

  • get_evidence unknown never probed

    Query the evidence graph: observation cells (tool × test-scenario × criterion) → verdict, score, the researcher's note, and the REAL artifacts (input/output screenshots) that prove it. The ground truth behind every ranking — filter any combination of tool(s), scenario (slug, group tag, or name), criterion, verdict, or evidence state. evidence_state: "verified" = artifact-backed, "observed" = noted without artifact, "scored-only" = number only.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "tool": {
      "type": "string",
      "description": "Tool slug or name, e.g. \"landing-ai\"."
    },
    "limit": {
      "type": "integer",
      "maximum": 200,
      "minimum": 1,
      "description": "Max cells (default 50)."
    },
    "tools": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Several tools at once."
    },
    "ranking": {
      "type": "string",
      "description": "Ranking page slug — scope cells to the evidence run that published ranking is bound to (exactly what the page renders)."
    },
    "verdict": {
      "enum": [
        "worked",
        "mixed",
        "struggled",
        "failed"
      ],
      "type": "string"
    },
    "evidence": {
      "enum": [
        "verified",
        "observed",
        "scored-only"
      ],
      "type": "string"
    },
    "scenario": {
      "type": "string",
      "description": "Scenario slug, cross-run group tag (e.g. \"scanned-research-paper\"), or name fragment."
    },
    "criterion": {
      "type": "string",
      "description": "Criterion slug or name, e.g. \"table extraction\"."
    }
  },
  "additionalProperties": false
}
    arguments 52 lines
  • answer unknown never probed

    ANSWER a buyer question in ONE call: which tool is best at a specific capability, with proof. Returns the resolved verdict our testing team's evidence supports — a named winner FOR THE ASKED CRITERION, every tested tool ranked with a comparable score /5, the CONDITIONS each result holds under (e.g. 'clean tables yes; nested headers no'), dissenting observations preserved as openable links, the tie-break reason, and artifact proof URLs. Answers are materialized from the evidence substrate — the same question returns the same answer. Honestly refuses (coverage: not_tested) when we never tested the topic. Start HERE for any 'which tool is best at X' / 'A or B for X' question; use get_evidence for the raw cells behind it.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "ranking": {
      "type": "string",
      "description": "Ranking slug (skips routing)."
    },
    "question": {
      "type": "string",
      "description": "The buyer question in natural language, e.g. 'Which document extraction tool best preserves table structure from scanned PDFs?'. Alternative: pass ranking + criterion explicitly."
    },
    "scenario": {
      "type": "string",
      "description": "Optional scenario/condition of interest."
    },
    "criterion": {
      "type": "string",
      "description": "Criterion slug or exact name (with `ranking`)."
    }
  },
  "additionalProperties": false
}
    arguments 22 lines
  • list_use_cases unknown never probed

    List published use-case pages (how-to guides): id, title, slug, url, persona, category, updated_at.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 500,
      "minimum": 1,
      "description": "Max items to return. Omit for all."
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "description": "Items to skip (paging)."
    }
  },
  "additionalProperties": false
}
    arguments 17 lines
  • list_tools unknown never probed

    List published AI tool pages: id, name, slug, url, domain, personas[], categories[].

    mcp-tool

    {
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 500,
      "minimum": 1,
      "description": "Max items to return. Omit for all."
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "description": "Items to skip (paging)."
    }
  },
  "additionalProperties": false
}
    arguments 17 lines
  • list_personas unknown never probed

    List personas with published-page counts per type {use_cases, rankings, tools, compares, toolkits}. The slugs are valid input for get_persona.

    mcp-tool

    {
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
    arguments 5 lines
  • list_categories unknown never probed

    List the category vocabulary in use with per-type counts and a source flag ("collection"|"derived"), sorted by total.

    mcp-tool

    {
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
    arguments 5 lines
  • list_rankings unknown never probed

    List published ranking pages ("best X"): id, title, slug, url, use_case, persona, category, tools_count, winner, tested_as_of, updated_at.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 500,
      "minimum": 1,
      "description": "Max items to return. Omit for all."
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "description": "Items to skip (paging)."
    }
  },
  "additionalProperties": false
}
    arguments 17 lines
  • list_compares unknown never probed

    List published head-to-head comparison pages: id, title, slug, url, tool_a, tool_b, personas[], shared_use_cases[], updated_at.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 500,
      "minimum": 1,
      "description": "Max items to return. Omit for all."
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "description": "Items to skip (paging)."
    }
  },
  "additionalProperties": false
}
    arguments 17 lines
  • list_toolkits unknown never probed

    List published toolkit pages (curated bundles): id, title, slug, url, category.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 500,
      "minimum": 1,
      "description": "Max items to return. Omit for all."
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "description": "Items to skip (paging)."
    }
  },
  "additionalProperties": false
}
    arguments 17 lines
  • search unknown never probed

    Search the published catalogue across use cases, rankings, tools, comparisons, and toolkits. Returns ranked light refs [{ kind, id, title, slug, url, snippet, score, meta }] — then call get_tool / get_ranking / get_use_case for full detail. `mode`: keyword (substring), semantic (meaning, via embeddings — finds pages by what they cover), or hybrid (default, fuses both). Optional filters: type[], persona, category.

    mcp-tool

    {
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "mode": {
      "enum": [
        "keyword",
        "semantic",
        "hybrid"
      ],
      "type": "string",
      "description": "Search mode."
    },
    "type": {
      "type": "array",
      "items": {
        "enum": [
          "use_case",
          "ranking",
          "tool",
          "compare",
          "toolkit"
        ],
        "type": "string"
      },
      "description": "Restrict to these kinds (default: all)."
    },
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1,
      "description": "Max results (default 20)."
    },
    "query": {
      "type": "string",
      "minLength": 1,
      "description": "Free-text search query."
    },
    "persona": {
      "type": "string",
      "description": "Restrict to items tagged with this persona slug."
    },
    "category": {
      "type": "string",
      "description": "Restrict to this category (case-insensitive)."
    }
  },
  "additionalProperties": false
}
    arguments 51 lines
  • tools_in_ranking unknown never probed

    Given a ranking id, return the ranking {id,title,slug} and its ranked tools [{id,name,slug,url,rank,badge}] (badge: Best/Usable/Needs work/Unstable/Failed).

    mcp-tool

    {
  "type": "object",
  "required": [
    "ranking_id"
  ],
  "properties": {
    "ranking_id": {
      "type": [
        "string",
        "integer"
      ],
      "description": "Ranking id (from list_rankings)."
    }
  },
  "additionalProperties": false
}
    arguments 16 lines
  • rankings_for_tool unknown never probed

    Given a tool id, return the tool {id,name,slug} and every ranking it appears in [{id,title,slug,url,use_case,rank,badge}].

    mcp-tool

    {
  "type": "object",
  "required": [
    "tool_id"
  ],
  "properties": {
    "tool_id": {
      "type": [
        "string",
        "integer"
      ],
      "description": "Tool id (from list_tools)."
    }
  },
  "additionalProperties": false
}
    arguments 16 lines
  • get_persona unknown never probed

    Given a persona slug (from list_personas), return everything tagged with it: persona, use_cases[], rankings[], compares[], toolkits[], tools[]. Mirrors a persona landing page.

    mcp-tool

    {
  "type": "object",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "minLength": 1,
      "description": "Persona slug, e.g. \"students\"."
    }
  },
  "additionalProperties": false
}
    arguments 14 lines
  • get_tool unknown never probed

    Full tool detail as a JSON+Markdown envelope: identity, pricing, per-feature scores, fit, FAQ, relationships (JSON) + our_take / in-depth review (Markdown). Includes `proof`: real artifact URLs (input/output screenshots, recordings) from the runs that tested it, each with the /evidence permalink for the finding it proves — you can cite evidence from THIS call. null if unknown. Pass `fields` to project to only the keys you need (token-efficient).

    mcp-tool

    {
  "type": "object",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "minLength": 1,
      "description": "Tool seo_slug, e.g. \"affinda\" (from list_tools)."
    },
    "proof": {
      "enum": [
        "sample",
        "full",
        "none"
      ],
      "type": "string",
      "description": "How many proof artifacts to inline. \"sample\" (default) = up to 6 per tool, spread across distinct criteria so you see breadth; \"full\" = every artifact; \"none\" = counts only, no URLs. Counts (artifact_count / finding_count) are the TRUE totals in every mode, so you can always tell what you did not receive."
    },
    "fields": {
      "type": "array",
      "items": {
        "enum": [
          "id",
          "name",
          "slug",
          "url",
          "heading",
          "website",
          "domain",
          "category",
          "sub_category",
          "content_type",
          "personas",
          "tags",
          "rating",
          "testing_history",
          "features",
          "pricing",
          "fit",
          "use_case_track_record",
          "related_pages",
          "related_reads",
          "similar_tools",
          "faq",
          "demo_video",
          "our_take",
          "in_depth_review_md",
          "proof"
        ],
        "type": "string"
      },
      "description": "Optional projection: return ONLY these top-level fields (identity id/name/title/slug/url is always included) to control response size. Available: id, name, slug, url, heading, website, domain, category, sub_category, content_type, personas, tags, rating, testing_history, features, pricing, fit, use_case_track_record, related_pages, related_reads, similar_tools, faq, demo_video, our_take, in_depth_review_md, proof."
    }
  },
  "additionalProperties": false
}
    arguments 58 lines
  • get_ranking unknown never probed

    Full ranking detail as a JSON+Markdown envelope: ranked tools (rank/badge/scores), criteria, winner, breakdown (JSON) + verdicts / final take (Markdown). Every ranked tool carries `proof`: real artifact URLs from the exact evidence run this page is bound to, each with the /evidence permalink for the finding it proves — verdict and proof arrive together, no second call needed to cite evidence. `proof.artifact_count` is the true total and `proof.all_findings` is the get_evidence call that returns all of it. null if unknown. Pass `fields` to project to only the keys you need (token-efficient).

    mcp-tool

    {
  "type": "object",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "minLength": 1,
      "description": "Ranking slug, e.g. \"resume-parsing-api\" (from list_rankings)."
    },
    "proof": {
      "enum": [
        "sample",
        "full",
        "none"
      ],
      "type": "string",
      "description": "How many proof artifacts to inline. \"sample\" (default) = up to 6 per tool, spread across distinct criteria so you see breadth; \"full\" = every artifact; \"none\" = counts only, no URLs. Counts (artifact_count / finding_count) are the TRUE totals in every mode, so you can always tell what you did not receive."
    },
    "fields": {
      "type": "array",
      "items": {
        "enum": [
          "id",
          "title",
          "slug",
          "url",
          "abstract",
          "read_time",
          "tested_date",
          "category",
          "use_case",
          "personas",
          "tags",
          "winner",
          "methodology",
          "tools",
          "breakdown",
          "final_take",
          "evidence_run"
        ],
        "type": "string"
      },
      "description": "Optional projection: return ONLY these top-level fields (identity id/name/title/slug/url is always included) to control response size. Available: id, title, slug, url, abstract, read_time, tested_date, category, use_case, personas, tags, winner, methodology, tools, breakdown, final_take, evidence_run."
    }
  },
  "additionalProperties": false
}
    arguments 49 lines
  • get_use_case unknown never probed

    Full use-case detail as a JSON+Markdown envelope: step guide, pros/cons, FAQ, tools used (JSON) + the full narrative guide (Markdown, full_md). null if unknown. Pass `fields` to project to only the keys you need (token-efficient).

    mcp-tool

    {
  "type": "object",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "minLength": 1,
      "description": "Use-case slug (from list_use_cases)."
    },
    "fields": {
      "type": "array",
      "items": {
        "enum": [
          "id",
          "title",
          "slug",
          "url",
          "abstract",
          "read_time",
          "category",
          "audience",
          "personas",
          "tags",
          "tools_used",
          "step_guide",
          "what_to_expect",
          "faq",
          "full_md"
        ],
        "type": "string"
      },
      "description": "Optional projection: return ONLY these top-level fields (identity id/name/title/slug/url is always included) to control response size. Available: id, title, slug, url, abstract, read_time, category, audience, personas, tags, tools_used, step_guide, what_to_expect, faq, full_md."
    }
  },
  "additionalProperties": false
}
    arguments 38 lines
  • compare_tools unknown never probed

    Evidence-aligned comparison of two tools, honesty enforced structurally: head_to_head (cells from the SAME test input — provable same-input comparison), related_not_same_input (same dimension, different runs — flagged), and each tool's unique evidence. Built from real observation cells with artifacts, not prose.

    mcp-tool

    {
  "type": "object",
  "required": [
    "tool_a",
    "tool_b"
  ],
  "properties": {
    "tool_a": {
      "type": "string",
      "description": "First tool slug, e.g. \"llamaparse\"."
    },
    "tool_b": {
      "type": "string",
      "description": "Second tool slug, e.g. \"landing-ai\"."
    },
    "criterion": {
      "type": "string",
      "description": "Optional: restrict to one criterion."
    }
  },
  "additionalProperties": false
}
    arguments 22 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.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/9601406df9b91096/badge.svg)](https://brick.blue/agent/9601406df9b91096)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Own the domain? Prove it and the listing carries a verified badge here too: passport.

_ 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
0

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
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median latency
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work
attempts
0
accepted
0
rejected
0
acceptance rate
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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.