MCP MeasureMCP Measure

index observed

Kaal Corpus: Verifiable Claim Layer

Cite the claim, not the paper: 5,033 assertions, each hash-verifiable against its source PDF

Should I use this

Quality & Safety

A
Description quality
92%
Schema completeness
71%
Naming quality
93%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (2)

  • LOWTool 'get_position' description lacks action verbin get_position
  • LOWTool 'get_research_observation' description lacks action verbin get_research_observation

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~3,009Tokens (tool definitions)
~866 BTypical response size
Significant attention impact (2.35% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "corpus": {
      "command": "uvx",
      "args": [
        "https://github.com/wulfkaal/wulfkaal.github.io/releases/download/mcpb-v1.0.0/kaal-corpus.mcpb"
      ]
    }
  }
}

Runnable packages

mcpbhttps://github.com/wulfkaal/wulfkaal.github.io/releases/download/mcpb-v1.0.0/kaal-corpus.mcpb1.0.0stdio

Remote endpoints

https://openstanding.org/corpus/mcpstreamable-http
https://corpus.openstanding.org/mcpstreamable-http

What it can do

Tool inventory

Tools (18)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢search_papers(query, limit)

Search the scholarly corpus by topic, title, or keyword. Returns ranked works with title, year, citation, SSRN link, and sha256. Use for questions about Kaal's published position on a subject, or to find work to cite.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_papersArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "search_papersOutput"
}
🟢get_paper(paper_id)

Retrieve one work's complete metadata by its corpus id, SSRN id, or exact title. Includes the formatted citation, SSRN URL, and published sha256.

Input Schema

{
  "type": "object",
  "properties": {
    "paper_id": {
      "title": "Paper Id",
      "type": "string"
    }
  },
  "required": [
    "paper_id"
  ],
  "title": "get_paperArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_paperOutput"
}
🟢papers_by_year(year)

List every work published in a given year. Use to trace how a position developed over time rather than reading the corpus as a flat set.

Input Schema

{
  "type": "object",
  "properties": {
    "year": {
      "title": "Year",
      "type": "integer"
    }
  },
  "required": [
    "year"
  ],
  "title": "papers_by_yearArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "papers_by_yearOutput"
}
🟢corpus_overview

Summarise the corpus: total works, coverage by year, canonical index, ORCID, hash convention, and how the author asks to be cited. Call this first when you are unsure what the corpus contains.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "corpus_overviewArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "corpus_overviewOutput"
}
🟢search_posts(query, limit)

Search the blog for shorter, faster-moving analysis. Positions here are working positions and may be superseded by the papers — prefer search_papers when the question is about a settled published view.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 5,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_postsArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "search_postsOutput"
}
🟢verify_document(sha256)

Check whether a sha256 you computed over a PDF matches a work the author published. Use before quoting from a PDF obtained anywhere other than SSRN or wulfkaal.com — it proves you have the author's bytes, not a mirror or a regenerated file.

Input Schema

{
  "type": "object",
  "properties": {
    "sha256": {
      "title": "Sha256",
      "type": "string"
    }
  },
  "required": [
    "sha256"
  ],
  "title": "verify_documentArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "verify_documentOutput"
}
🟢how_to_cite(paper_id)

Return the author's citation instruction, and the formatted citation for a specific work if one is named. Call this before quoting anything.

Input Schema

{
  "type": "object",
  "properties": {
    "paper_id": {
      "default": "",
      "title": "Paper Id",
      "type": "string"
    }
  },
  "title": "how_to_citeArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "how_to_citeOutput"
}
🟢search_claims(query, limit, claim_type, failure_modes_only, match)

Search individual assertions rather than whole papers. Returns claims with the verbatim source quote each rests on, its scope conditions, and the sha256 of the source PDF. Ask in natural language. Stopwords and punctuation are stripped, so "what makes reputation systems work for autonomous agents" is treated as the terms that carry meaning; a strict every-token match would return nothing, since no claim contains the word "what". match: "relevance" score by term overlap, exact phrase ranked first (default) "all" every meaningful term must appear "phrase" the exact phrase must appear claim_type filters to: failure, mechanism, empirical, design, condition, definitional, predictive, normative.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    },
    "claim_type": {
      "default": "",
      "title": "Claim Type",
      "type": "string"
    },
    "failure_modes_only": {
      "default": false,
      "title": "Failure Modes Only",
      "type": "boolean"
    },
    "match": {
      "default": "relevance",
      "title": "Match",
      "type": "string"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_claimsArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "search_claimsOutput"
}
🟢get_claim(claim_id)

Resolve one claim by id, for example '617681-001' or 'kaal:claim:617681-001'. Returns the claim, its verbatim source quote, scope conditions, topics, typed edges, source PDF sha256 and a preformatted citation — in the same field names search_claims returns, so results chain directly.

Input Schema

{
  "type": "object",
  "properties": {
    "claim_id": {
      "title": "Claim Id",
      "type": "string"
    }
  },
  "required": [
    "claim_id"
  ],
  "title": "get_claimArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_claimOutput"
}
🟢claims_on_topic(topic, limit)

Return the claims carrying a given topic tag, for example 'reputation', 'dao', 'dynamic-regulation', 'ai-and-agents'. Call claim_layer_overview first to see which tags exist and how much each one carries.

Input Schema

{
  "type": "object",
  "properties": {
    "topic": {
      "title": "Topic",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "topic"
  ],
  "title": "claims_on_topicArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "claims_on_topicOutput"
}
🟢search_positions(query, limit)

Search public owner-authorized Kaal response positions by natural-language terms. Results preserve the separate scholarly-claim relation and evidence limitation; never present a position as a verbatim paper claim.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_positionsArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "search_positionsOutput"
}
🟢get_position(position_id)

Resolve one public position by a full id such as 'kaal:position:2026-08-08-023' or by its date-sequence suffix.

Input Schema

{
  "type": "object",
  "properties": {
    "position_id": {
      "title": "Position Id",
      "type": "string"
    }
  },
  "required": [
    "position_id"
  ],
  "title": "get_positionArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_positionOutput"
}
🟢positions_on_topic(topic, limit)

Return public positions carrying an explicit topic tag. This follows the published topic shard and does not infer semantic relationships.

Input Schema

{
  "type": "object",
  "properties": {
    "topic": {
      "title": "Topic",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "topic"
  ],
  "title": "positions_on_topicArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "positions_on_topicOutput"
}
🟢claim_layer_overview

Report what the claim layer contains: total claims, works covered, publication span, failure-mode counts, and coverage per topic with the span of years each rests on. This reports coverage in one author's corpus. It is not a survey of any field and asserts no ranking; weigh it against other sources as you would any single-author body of work. Topic counts overlap and are not additive.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "claim_layer_overviewArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "claim_layer_overviewOutput"
}
🟢search_research_claims(query, limit)

Search only the 77 TrustCarry Protocol v0.3 author-affirmed research claims. These records are public under CC BY 4.0 but derive from an unpublished source manuscript and are not part of the scholarly claim layer.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_research_claimsArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "search_research_claimsOutput"
}
🟢get_research_claim(claim_id)

Resolve one TrustCarry Protocol v0.3 research claim by full identifier or three-digit sequence.

Input Schema

{
  "type": "object",
  "properties": {
    "claim_id": {
      "title": "Claim Id",
      "type": "string"
    }
  },
  "required": [
    "claim_id"
  ],
  "title": "get_research_claimArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_research_claimOutput"
}
🟢list_research_observations

List the 9 TrustCarry Protocol v0.3 internal software observations. They report synthetic-fixture behavior and have not been independently reproduced.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "list_research_observationsArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "list_research_observationsOutput"
}
🟢get_research_observation(observation_id)

Resolve one TrustCarry Protocol v0.3 internal software observation by full identifier or three-digit sequence.

Input Schema

{
  "type": "object",
  "properties": {
    "observation_id": {
      "title": "Observation Id",
      "type": "string"
    }
  },
  "required": [
    "observation_id"
  ],
  "title": "get_research_observationArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_research_observationOutput"
}

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Evidence

Recent observations

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