mcp-server-fetch-python

Name: mcp-server-fetch-python
Author: tatn

@tatn

リポジトリホームページ

mcp-server-fetch-python について

概要はまだありません

基本情報

カテゴリ

ブラウザ自動化

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

tatn

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-server-fetch-python": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "uvx",
        "mcp-server-fetch-python"
      ]
    }
  }
}

ツール

Extracts raw text content directly from URLs without browser rendering

Fetches fully rendered HTML content using a headless browser

Converts web page content to well-formatted Markdown

Performs AI-powered content extraction from media files

概要

What is mcp-server-fetch-python?

mcp-server-fetch-python is an MCP server that fetches and transforms web content into various formats. It provides tools for extracting raw text, rendered HTML, Markdown, and AI-powered content from media files, supporting JavaScript-rendered pages and visual media analysis.

How to use mcp-server-fetch-python?

Install using uvx mcp-server-fetch-python or clone the repository and run locally with uv sync and uv build. Add the server configuration to your Claude Desktop configuration file (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json; Windows: %APPDATA%/Claude/claude_desktop_config.json) using the uvx command. For the media analysis tool, set the OPENAI_API_KEY environment variable; optionally set MODEL_NAME (default: "gpt-4o") and PYTHONIOENCODING to "utf-8".

Key features of mcp-server-fetch-python

get-raw-text: Extracts raw text directly from URLs without browser rendering.
get-rendered-html: Fetches fully rendered HTML using a headless browser.
get-markdown: Converts web page content to well-formatted Markdown.
get-markdown-from-media: AI-powered content extraction from images and videos.
Media tool requires OPENAI_API_KEY environment variable.

Use cases of mcp-server-fetch-python

Scrape structured data (JSON, XML, CSV) from URLs quickly.
Extract content from modern web applications and SPAs that require JavaScript rendering.
Convert web pages to clean Markdown for documentation or note-taking.
Perform text extraction from images and videos via OpenAI computer vision.
Integrate content fetching into AI assistants via the MCP protocol.