Web Fetch MCP Server

Web Fetch MCP Server

Provides tools to fetch web content in HTML, JSON, text, or Markdown formats via MCP. Supports custom headers, length limits, and start index.

Category
Visit Server

README

Web Fetch MCP Server (Python)

基于 zcaceres/fetch-mcp 的 Python 实现,使用 FastMCP 框架。

功能

提供 4 个网页内容获取工具:

工具 描述
fetch_html 获取网页原始 HTML
fetch_json 获取并解析 JSON 数据
fetch_txt 获取纯文本(去除 HTML 标签)
fetch_markdown 获取网页并转换为 Markdown

所有工具支持以下参数:

  • url - 目标 URL(必填)
  • headers - 自定义请求头(可选)
  • max_length - 最大返回字符数,默认 50000(可选)
  • start_index - 起始字符位置,默认 0(可选)

使用方式

本地运行

# 安装依赖
uv venv && source .venv/bin/activate
uv pip install -e .

# Stdio 模式
uv run python fetch_mcp_server.py

# SSE 模式(HTTP 服务)
uv run fastmcp run fetch_mcp_server.py:mcp --transport sse --port 8000

Docker 运行

# 构建镜像
docker build -t web-fetch-mcp .

# 运行容器
docker run -d -p 8000:8000 --name web-fetch-mcp web-fetch-mcp

# 或使用 docker-compose
docker-compose up -d

MCP 客户端配置

Streamable HTTP 模式(Docker 默认)

{
  "mcpServers": {
    "fetch": {
      "url": "http://localhost:8000/mcp"
    }
  }
}

SSE 模式

{
  "mcpServers": {
    "fetch": {
      "url": "http://localhost:8000/sse"
    }
  }
}

Stdio 模式

{
  "mcpServers": {
    "fetch": {
      "command": "python",
      "args": ["/path/to/fetch_mcp_server.py"]
    }
  }
}

环境变量

  • DEFAULT_LIMIT - 默认最大返回字符数(默认: 50000)

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured