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defuddle-fetch-mcp-server

@domdomegg/defuddle-fetch-mcp-server
0 Stars 1 次浏览 domdomegg 更新于 2026-08-23

Fetch content from the web, cleaned up nicely for LLMs (using Defuddle).

MCP 服务配置

复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用

{
  "mcpServers": {
    "defuddle-fetch-mcp-server": {
      "args": [
        "defuddle-fetch-mcp-server@1.0.4"
      ],
      "command": "npx"
    },
    "https://github.com/domdomegg/defuddle-fetch-mcp-server/releases/download/v1.0.4/defuddle-fetch-mcp-server.mcpb": {
      "args": [],
      "command": ""
    }
  }
}

可用工具 (5 个)

该服务在 MCP 协议中暴露的工具,AI 可按需调用

tavily_search 14 个参数 需填 1 项

Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

必填参数:query

tavily_extract 6 个参数 需填 1 项

Extract content from URLs. Returns raw page content in markdown or text format.

必填参数:urls

tavily_crawl 11 个参数 需填 1 项

Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

必填参数:url

tavily_map 8 个参数 需填 1 项

Map a website's structure. Returns a list of URLs found starting from the base URL.

必填参数:url

tavily_research 2 个参数 需填 1 项

Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

必填参数:input

服务介绍

defuddle-fetch-mcp-server

A Model Context Protocol server that provides web content fetching capabilities using the Defuddle library. This server enables LLMs to retrieve and process content from web pages, automatically cleaning up the HTML and converting it to clean, readable markdown.

This is a drop-in replacement for the default fetch MCP server that uses Readability. This generally provides better results for most modern webpages.

# Comparison

(using this issue)

| Default Fetch MCP | Defuddle Fetch MCP |
| - -- | - -- |
| Contents of https://github.com/kepano/defuddle/issues/61:The MCP protocol is a standard for giving AI models access to tools.There's a default fetch MCP server, which enables AI models to fetch content from websites. This uses Readability.js which is a bit meh, particularly at navigating GitHub (which I try to use it for a lot). I appreciate there is the GitHub MCP, but a more general web browsing solution seems particularly nice here.Defuddle seems significantly better than Readability.js at processing pages nicely, and the model of having custom extractors to make particular sites work well seems great.It'd be neat if someone built a defuddle-based fetch MCP server. I might get round to this later if I get frustrated enough with the default fetch MCP 😄 | # idea: defuddle-based fetch MCP server · Issue # 61 · kepano/defuddleURL: https://github.com/kepano/defuddle/issues/61Open# 61[![@domdomegg](https://avatars.githubusercontent.com/u/4953590?u=c9e631d8135b93c7631d88f2e4bcb6b95e000264&v=4&size=80)](https://github.com/domdomegg)# # DescriptionThe MCP protocol is a standard for giving AI models access to tools.There's a default fetch MCP server, which enables AI models to fetch content from websites. This uses Readability.js which is a bit meh, particularly at navigating GitHub (which I try to use it for a lot). I appreciate there is the GitHub MCP, but a more general web browsing solution seems particularly nice here.Defuddle seems significantly better than Readability.js at processing pages nicely, and the model of having custom extractors to make particular sites work well seems great.It'd be neat if someone built a defuddle-based fetch MCP server. I might get round to this later if I get frustrated enough with the default fetch MCP 😄 |

# Features

  • Better Content Extraction: Uses Defuddle to remove webpage clutter and extract main content: while keeping things like the page title and key metadata
  • Flexible Output: Supports both markdown and raw HTML output
  • Chunked Reading: Supports pagination with start_index and max_length parameters
  • Rich Metadata: Extracts title, author, publication date, word count, and more

# Installation

To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your claude_desktop_config.json:

{
  "mcpServers": {
    "defuddle-fetch": {
      "command": "npx",
      "args": [
        "-y",
        "defuddle-fetch-mcp-server"
      ]
    }
  }
}

# Components

# # Tools

  • fetch
    • Fetches a URL from the internet and extracts its contents as clean, markdown text using Defuddle
    • Input parameters:
      • url (string, required): URL to fetch
      • max_length (number, optional): Maximum number of characters to return. Defaults to 5000.
      • start_index (number, optional): Start content from this character index. Defaults to 0.
      • raw (boolean, optional): Get raw content without markdown conversion. Defaults to false.
    • Returns cleaned content with metadata including title, author, publication date, word count, domain, and processing time

# Contributing

Pull requests are welcomed on GitHub! To get started:

  1. Install Git and Node.js
  2. Clone the repository
  3. Install dependencies with npm install
  4. Run npm run test to run tests
  5. Build with npm run build

To add it to Claude Desktop, run npm run build then add the following configuration to your claude_desktop_config.json:

{
  "mcpServers": {
    "defuddle-fetch": {
      "command": "node",
      "args": [
        "/path/to/clone/defuddle-fetch-mcp-server/dist/index.js"
      ]
    }
  }
}

# Releases

Versions follow the semantic versioning spec.

To release:

  1. Use npm version <major | minor | patch> to bump the version
  2. Run git push - -follow-tags to push with tags
  3. Wait for GitHub Actions to publish to the NPM registry.

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