mcp-server-fetch-python
by MCP-Mirror
An MCP server designed to fetch and transform web content into various formats. It provides tools for extracting content from web pages, including support for JavaScript-rendered content and media files.
Last updated: N/A
What is mcp-server-fetch-python?
This server is a tool for fetching and transforming web content. It offers multiple tools to extract raw text, rendered HTML, and convert web pages or media files to Markdown.
How to use mcp-server-fetch-python?
The server can be used with Claude Desktop by adding a server configuration to the claude_desktop_config.json file. Alternatively, it can be installed and run locally using git clone, uv sync, and uv build commands. The OPENAI_API_KEY environment variable is required for AI-powered media extraction.
Key features of mcp-server-fetch-python
Extracts raw text from URLs
Fetches fully rendered HTML using a headless browser
Converts web page content to Markdown
Extracts content from media files using AI and OCR
Use cases of mcp-server-fetch-python
Extracting data from websites for analysis
Converting web pages to Markdown for documentation
Automating content extraction workflows
Analyzing images and videos for text and other information
FAQ from mcp-server-fetch-python
What is the purpose of this server?
What is the purpose of this server?
The server is designed to fetch and transform web content into various formats, making it easier to extract and use data from the web.
What is the OPENAI_API_KEY used for?
What is the OPENAI_API_KEY used for?
The OPENAI_API_KEY is required for the get-markdown-from-media tool, which uses AI to extract content from images and videos.
How do I install the server locally?
How do I install the server locally?
You can install the server locally by cloning the repository, running uv sync, and then uv build.
How do I use this server with Claude Desktop?
How do I use this server with Claude Desktop?
Add the server configuration to the claude_desktop_config.json file in your Claude Desktop application support directory.
What if I encounter character encoding issues?
What if I encounter character encoding issues?
Set the PYTHONIOENCODING environment variable to "utf-8" to resolve character encoding problems.