Verbaterm Policy Intelligence

Judged, citation-checked policy corpus over MCP. Keyless public reads; API key for AI tools.

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
80%
命名品質
97%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~613Token(工具定義)
~548 B典型回應大小
極小的注意力影響(128k 上下文的 0.48%)

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": {
    "verbaterm": {
      "url": "https://verbaterm.com/mcp"
    }
  }
}

遠端端點

https://verbaterm.com/mcpstreamable-http

它能做什麼

工具清單

工具(7)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢search_policies(q, category, limit)

Search Verbaterm's judged, citation-checked public policy corpus (companies, products, policy kinds). Returns derived review metadata — findings counts, scores, freshness — never raw policy text.

輸入結構描述

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "description": "Company or product name to search."
    },
    "category": {
      "type": "string",
      "description": "Optional audience category slug."
    },
    "limit": {
      "type": "number",
      "description": "Max results (default 20, max 50)."
    }
  }
}
🟢list_policies

List published public-library policy reviews available in the corpus.

輸入結構描述

{
  "type": "object",
  "properties": {}
}
🟢get_policy_review(companySlug, productSlug, policyKind)

Get the full judged review for one published policy: findings with verbatim citation excerpts, scores, summary, and provenance. Cite the source URLs back to the user.

輸入結構描述

{
  "type": "object",
  "properties": {
    "companySlug": {
      "type": "string"
    },
    "productSlug": {
      "type": "string"
    },
    "policyKind": {
      "type": "string",
      "description": "terms, privacy, cookies, data_processing, or other."
    }
  },
  "required": [
    "companySlug",
    "productSlug",
    "policyKind"
  ]
}
🟢start_private_review(policyText, documentTitle, policyKind)

Start a private Verbaterm review of pasted policy text (requires a Verbaterm API key; debits the caller's plan allowance, not API credits). Returns a sessionId to poll with get_private_review_progress.

輸入結構描述

{
  "type": "object",
  "properties": {
    "policyText": {
      "type": "string",
      "description": "Full pasted policy text (min 80 chars)."
    },
    "documentTitle": {
      "type": "string"
    },
    "policyKind": {
      "type": "string",
      "description": "terms, privacy, cookies, data_processing, other, or auto."
    }
  },
  "required": [
    "policyText"
  ]
}
🟢get_private_review_progress(sessionId)

Poll progress of a private review started with start_private_review.

輸入結構描述

{
  "type": "object",
  "properties": {
    "sessionId": {
      "type": "string"
    }
  },
  "required": [
    "sessionId"
  ]
}
🟢get_private_review_result(sessionId)

Get the completed private review (findings + citations) for a session started with start_private_review. Raw source text is not returned.

輸入結構描述

{
  "type": "object",
  "properties": {
    "sessionId": {
      "type": "string"
    }
  },
  "required": [
    "sessionId"
  ]
}
⚪ask_question(question, reviewRef)

Ask a citation-grounded follow-up question about a public library review or a private session (requires a Verbaterm API key; debits the caller's plan Q&A allowance).

輸入結構描述

{
  "type": "object",
  "properties": {
    "question": {
      "type": "string",
      "description": "3–1000 characters."
    },
    "reviewRef": {
      "type": "object",
      "description": "{ kind: \"public_path\", companySlug, productSlug, policyKind } or { kind: \"private\", sessionId }."
    }
  },
  "required": [
    "question",
    "reviewRef"
  ]
}

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