Kaal Corpus: Verifiable Claim Layer

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

我該用這個嗎

品質與安全性

A
說明品質
92%
結構描述完整度
71%
命名品質
93%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(2)

  • LOWTool 'get_position' description lacks action verb在 get_position 中
  • LOWTool 'get_research_observation' description lacks action verb在 get_research_observation 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~3,009Token(工具定義)
~866 B典型回應大小
顯著的注意力影響(128k 上下文的 2.35%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

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

可執行的套件

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

遠端端點

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

它能做什麼

工具清單

工具(18)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

{
  "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"
}

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

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

輸出結構描述

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

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