What is the main purpose of this server?
It lets LLMs autonomously fetch and explore web content, especially documentation, by recursively following same‑domain links to gather complete context on a topic.
@wolfyy970
基本信息
MCP server for fetching web page content with recursive exploration capability
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"docs-fetch": {
"command": "node",
"args": [
"/path/to/docs-fetch-mcp/build/index.js"
],
"env": {
"MCP_TRANSPORT": "pipe"
}
}
}
}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。
An MCP server that enables LLMs to fetch web content with recursive exploration. It retrieves clean, readable text from web pages and autonomously follows same-domain links up to a specified depth, making it ideal for learning topics by exploring documentation.
Install via npm and build the project. Configure your MCP client (e.g., Claude Desktop) with the node command pointing to the built index.js. The server exposes a single tool fetch_doc_content which accepts a URL and optional depth (1–5), returning page content and discovered links.
It lets LLMs autonomously fetch and explore web content, especially documentation, by recursively following same‑domain links to gather complete context on a topic.
Node.js, npm, and the packages `@modelcontextprotocol/sdk`, `puppeteer`, and `axios`. Puppeteer is used as a fallback for complex pages.
Clone the repo, run `npm install` and `npm run build`, then add the server to your MCP client’s configuration with the `node` command pointing to `build/index.js` and set `MCP_TRANSPORT` to `"pipe"`.
The depth parameter accepts 1 to 5, with a default of 1. Higher values explore more linked pages within the same domain.
Yes. It implements global timeout handling, graceful error recovery for network issues, and returns partial results even if some pages fail.

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Model Context Protocol Servers
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