verdigraph

Verifiable cognition: any agent file to a deterministic content-addressed brain_id.

我該用這個嗎

品質與安全性

B
說明品質
88%
結構描述完整度
66%
命名品質
90%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(1)

  • LOWTool 'describe_agent' description lacks action verb在 describe_agent 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~573Token(工具定義)
~1.0 KB典型回應大小
極小的注意力影響(128k 上下文的 0.45%)

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": {
    "verdigraph": {
      "url": "https://mcp.viridisconservation.com/verdigraph/mcp"
    }
  }
}

遠端端點

https://mcp.viridisconservation.com/verdigraph/mcpstreamable-http

它能做什麼

工具清單

工具(4)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢build_brain(content, format, include_document, request_id)

Compile an agent file into a deterministic, content-addressed brain. content = the file as a string; format = verdigraph_genome | claude_project_export | openai_assistant | prompt_list | auto. Returns brain_id, content_hash, node/edge counts, the 9-invariant firing report, and provenance. Identical bytes always produce the identical brain_id (VB1). include_document=true returns the full graph.

輸入結構描述

{
  "type": "object",
  "properties": {
    "content": {
      "title": "Content",
      "type": "string"
    },
    "format": {
      "default": "auto",
      "title": "Format",
      "type": "string"
    },
    "include_document": {
      "default": false,
      "title": "Include Document",
      "type": "boolean"
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Request Id"
    }
  },
  "required": [
    "content"
  ],
  "title": "build_brainArguments"
}

輸出結構描述

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "build_brainOutput"
}
🟢verify_brain(content, brain_id, content_hash, format)

Machine-check a cognition claim: recompute the brain from the submitted content and compare against the claimed brain_id and/or content_hash. valid=true iff every claimed identifier matches the deterministic recomputation (VB3).

輸入結構描述

{
  "type": "object",
  "properties": {
    "content": {
      "title": "Content",
      "type": "string"
    },
    "brain_id": {
      "default": "",
      "title": "Brain Id",
      "type": "string"
    },
    "content_hash": {
      "default": "",
      "title": "Content Hash",
      "type": "string"
    },
    "format": {
      "default": "auto",
      "title": "Format",
      "type": "string"
    }
  },
  "required": [
    "content"
  ],
  "title": "verify_brainArguments"
}

輸出結構描述

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "verify_brainOutput"
}
⚪detect_format(content)

Detect which supported agent-file format the content is (verdigraph_genome, claude_project_export, openai_assistant, prompt_list) before building.

輸入結構描述

{
  "type": "object",
  "properties": {
    "content": {
      "title": "Content",
      "type": "string"
    }
  },
  "required": [
    "content"
  ],
  "title": "detect_formatArguments"
}

輸出結構描述

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

Return capabilities and input contract.

輸入結構描述

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

輸出結構描述

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

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已驗證未記錄版本4 個工具
已驗證未記錄版本4 個工具