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索引已觀測

llmref

Versioned documentation registry and semantic search for AI tools and coding assistants.

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品質與安全性

A
說明品質
95%
結構描述完整度
98%
命名品質
95%
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

~652Token（工具定義）
~1.2 KB典型回應大小
中等的注意力影響（128k 上下文的 0.51%）

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": {
    "llmref": {
      "url": "https://api.llmref.org/v1/mcp"
    }
  }
}

遠端端點

https://api.llmref.org/v1/mcpstreamable-http

它能做什麼

工具清單

工具（4）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢list_projects(limit, query, skip)

List indexed documentation projects. Use this first to discover what's available. Supports a forgiving fuzzy `query` over slugs (ranked by relevance) plus `limit` and `skip` for pagination.

輸入結構描述

{
  "type": "object",
  "properties": {
    "limit": {
      "default": null,
      "description": "Maximum number of results to return (default 50, max 200).",
      "format": "uint",
      "minimum": 0,
      "type": [
        "integer",
        "null"
      ]
    },
    "query": {
      "default": null,
      "description": "Forgiving fuzzy filter over project slugs; results are ranked by relevance.",
      "type": [
        "string",
        "null"
      ]
    },
    "skip": {
      "default": null,
      "description": "Number of results to skip, for pagination (default 0).",
      "format": "uint",
      "minimum": 0,
      "type": [
        "integer",
        "null"
      ]
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢list_versions(project)

List available versions for a project. Call this before resolve_docs or search_docs to see valid version strings.

輸入結構描述

{
  "type": "object",
  "properties": {
    "project": {
      "description": "Project slug (e.g. \"nextjs\", \"react\")",
      "type": "string"
    }
  },
  "required": [
    "project"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢resolve_docs(project, version)

Resolve a project version and get artifact URLs (llms.txt, llms-full.txt, meta.json, dumps). Use list_versions first to discover valid version strings.

輸入結構描述

{
  "type": "object",
  "properties": {
    "project": {
      "description": "Project slug (e.g. \"nextjs\", \"react\")",
      "type": "string"
    },
    "version": {
      "description": "Version string or \"latest\"",
      "type": "string"
    }
  },
  "required": [
    "project",
    "version"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢search_docs(project, query, token_budget, top_k, version)

Semantic search across a project's documentation. Returns chunks ranked by relevance. Requires the server to have semantic search enabled.

輸入結構描述

{
  "type": "object",
  "properties": {
    "project": {
      "description": "Project slug (e.g. \"nextjs\", \"react\")",
      "type": "string"
    },
    "query": {
      "description": "Natural-language search query",
      "type": "string"
    },
    "token_budget": {
      "default": 4096,
      "description": "Max tokens to budget for results (default 4096)",
      "format": "uint",
      "minimum": 0,
      "type": "integer"
    },
    "top_k": {
      "default": 10,
      "description": "Max results (1-50, default 10)",
      "format": "uint",
      "minimum": 0,
      "type": "integer"
    },
    "version": {
      "description": "Version string or \"latest\"",
      "type": "string"
    }
  },
  "required": [
    "project",
    "version",
    "query"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

建議的提示詞

search_research
Search for information about [topic] using llmref
預期的工具： search_docs
find_specific
Find [specific item] using llmref
預期的工具： search_docs
list_items
List all [items] available in llmref
預期的工具： list_projects
browse_collection
Show me the [collection] from llmref
預期的工具： list_projects

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證據

近期觀測

已驗證未記錄版本4 個工具
已驗證未記錄版本4 個工具