A Model Context Protocol (MCP) server that fetches web pages and converts them to clean, readable markdown format, focusing on main content
MCP Fetch As Markdown MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. A Model Context Protocol (MCP) server that fetches web pages and converts them to clean, readable markdown format, focusing on main content extraction while minimizing context overhead.
This MCP server acts as a bridge between AI assistants and the web, specifically designed to:
Once MCP Fetch As Markdown is connected, these are the calls the assistant has available:
Attribution — Give proper credit to original sources when using extracted contentPrerequisites — The Prerequisites tool exposed by this serverfetch — The fetch tool exposed by this serverCustomization — The Customization tool exposed by this serverDebugging — Enable debug logging by modifying the logging level in main.py: python logging.basicConfig(level=logging.DEBUG)git on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
uv package managerAmong the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. MCP Fetch As Markdown's toolset — Attribution, Prerequisites, fetch and 2 more — is a fair guide to whether it matches your workflow. It is maintained by bhubbb; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Attribution | Give proper credit to original sources when using extracted content |
| Prerequisites | The Prerequisites tool exposed by this server. |
| fetch | The fetch tool exposed by this server. |
| Customization | The Customization tool exposed by this server. |
| Debugging | Enable debug logging by modifying the logging level in main.py: python logging.basicConfig(level=logging.DEBUG) |
{
"mcpServers": {
"fetch-as-markdown": {
"command": "uvx",
"args": ["git+https://github.com/bhubbb/mcp-fetch-as-markdown"]
}
}
}Configuration as documented by the project. Restart the client after saving.
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