referencesource.org

Verified reference data; each record carries its source URL and quote. verify_quote checks claims.

我该使用它吗

质量与安全性

A
描述质量
100%
模式完整度
98%
命名质量
100%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~867token 数(工具定义)
~1.3 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.68%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "referencesource": {
      "command": "npx",
      "args": [
        "referencesource-mcp"
      ]
    }
  }
}

可运行的软件包

npmreferencesource-mcp1.0.3stdio

远程端点

https://referencesource.org/mcpstreamable-http

它能做什么

工具清单

工具(4)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢list_datasets(query, full)

What reference datasets are available? Lists every published dataset with its title, record count, last-verified date and a one-sentence summary. Covers regulatory thresholds, version compatibility, certification registers, licensing rules and more. Pass `query` to list only the datasets matching a topic — that is much cheaper than reading the whole list. Use the returned slug with search_records or get_record.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Optional topic filter, e.g. \"boiler\", \"tariff\" or \"loan limit\". Case-insensitive substring, matched against each dataset's slug, title and full description. Omit it to list every dataset."
    },
    "full": {
      "type": "boolean",
      "description": "Return each dataset's complete scope statement instead of the first sentence. Off by default: the full text is roughly four times the size and is rarely needed to choose a dataset."
    }
  }
}
🟢search_records(dataset_slug, query)

Look up a specific record — search by state name, chemical, certificate number, product name or any keyword. Searches one dataset's records (case-insensitive substring match across all fields). Returns up to 20 matching records, each with its url, source and verbatim source_quote so the answer can be checked.

输入模式

{
  "type": "object",
  "properties": {
    "dataset_slug": {
      "type": "string",
      "description": "Dataset slug from list_datasets, e.g. \"graduated-driver-licensing\"."
    },
    "query": {
      "type": "string",
      "description": "Substring to match, case-insensitive, e.g. a state code, chemical name or standard number."
    }
  },
  "required": [
    "dataset_slug",
    "query"
  ]
}
🟢get_record(dataset_slug, record_id)

Fetch one record by id — for example, look up a FIPS 140 certificate's status, a state's boiler inspection rules, or a county's loan limit. Returns the full record with its source URL and verbatim source quote. Record ids appear in search_records results and in each record's url.

输入模式

{
  "type": "object",
  "properties": {
    "dataset_slug": {
      "type": "string",
      "description": "Dataset slug from list_datasets."
    },
    "record_id": {
      "type": "string",
      "description": "The record's id field, e.g. \"ak\"."
    }
  },
  "required": [
    "dataset_slug",
    "record_id"
  ]
}
🟢verify_quote(dataset_slug, claimed_value, record_id, field)

Is this value actually right? Check a claimed fact against a published record instead of trusting it. Reports whether the claim matches the record's stored value (exact, case-insensitive or normalised — the match type is named), whether it appears in the record's verbatim source quote, and returns the source URL and quote so the claim can be traced upstream. Use this whenever you want to confirm a number, date, threshold or status before stating it. Verdicts: matches_record, matches_quote, differs or not_found.

输入模式

{
  "type": "object",
  "properties": {
    "dataset_slug": {
      "type": "string",
      "description": "Dataset slug from list_datasets."
    },
    "claimed_value": {
      "type": "string",
      "description": "The value to check, exactly as claimed, e.g. \"$832,750\" or \"no passengers younger than 21\"."
    },
    "record_id": {
      "type": "string",
      "description": "The record's id, if known (shown in search_records results and in each record's url). Without it, the dataset's stored values are searched for the claimed value."
    },
    "field": {
      "type": "string",
      "description": "Field name to check the claim against, e.g. \"limit_1_unit\". Without it, every stored field is checked."
    }
  },
  "required": [
    "dataset_slug",
    "claimed_value"
  ]
}

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已验证未记录版本4 个工具
已验证未记录版本4 个工具