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MCP Web Search Tool

@gabrimatic

代码仓库主页

基本信息

分类

搜索

许可证

MIT

传输方式

stdio

作者

gabrimatic

关于 MCP Web Search Tool

A MCP server providing real-time web search capabilities to any AI model.

#agent#mcp#claude#search-agent#claude-ai#websearch-agent#model-context-protocol#mcp-server

MCP Web Search Tool 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-web-search-tool": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp-web-search",
        "."
      ]
    }
  }
}

MCP Web Search Tool 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Web Search Tool?

MCP Web Search Tool is an MCP server that lets AI assistants perform live web searches, read full page content, and retrieve source citations. It uses stdio transport, has pluggable providers, and requires no scraper dependencies.

How to use MCP Web Search Tool?

Clone the repository, install dependencies with npm, copy the .env.example file and optionally set BRAVE_API_KEY, then build and start. Docker is also supported. For client integration (Claude Desktop, VS Code, Cursor, etc.), see MCP_CLIENTS.md.

Key features of MCP Web Search Tool

  • Five tools: web_search, news_search, image_search, fetch_url, list_providers
  • Search returns ranked summaries with stable IDs and structured JSON
  • Primary provider is Brave Search; keyless DuckDuckGo fallback for web search
  • fetch_url strips scripts, styles, nav, footer, and aside from page text
  • Configurable caching (LRU+TTL) for both search and URL fetch results
  • Environment‑driven configuration for timeouts, limits, and provider selection

Use cases of MCP Web Search Tool

  • Get current, source‑backed answers to live questions during a conversation
  • Research topics by searching and reading full articles with cited sources
  • Find recent news with source name and publish date via news_search
  • Retrieve images with thumbnails for visual queries
  • Integrate real‑time web data into AI assistant workflows without additional scraping tools

常见问题

1

What are the runtime requirements?

Node.js >= 20.18 and npm >= 10. The server uses native `fetch` and has no other scraper dependencies.

2

Do I need a Brave Search API key?

No. Without a key, `web_search` runs on DuckDuckGo as a keyless fallback. However, `news_search` and `image_search` require a Brave key. Set `ALLOW_KEYLESS=false` to refuse startup without a key.

3

What does `fetch_url` refuse to fetch?

It rejects non‑`http(s)` schemes and any host that resolves to private, loopback, link‑local, multicast, or IPv4‑mapped IPv6 private addresses (see `SECURITY.md`).

4

Which search providers are available?

Brave Search (default when `BRAVE_API_KEY` is set) and DuckDuckGo (keyless fallback). Call `list_providers` to check availability of news and image search in the current session.

5

How can I configure caching?

Via environment variables: `CACHE_MAX_ENTRIES` (default 256) and `CACHE_TTL_MS` (default 300 000) for search cache; `FETCH_CACHE_MAX` (default 128) and `FETCH_CACHE_TTL_MS` (default 600 000) for URL fetch cache.

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