Back to Directory

MCP Comparison

Compare features, tools, and capabilities of these MCP servers side by side.

Hugging Face MCP Server

Hugging Face MCP Server

Hugging Face Official MCP Server connects your large language models (LLMs) to the Hugging Face Hub and thousands of Gradio AI Applications, enabling seamless MCP (Model Context Protocol) integration across multiple transports. It supports STDIO, SSE (to be deprecated but still commonly deployed), StreamableHTTP, and StreamableHTTPJson, with the Web Application allowing dynamic tool management and status updates. This MCP server is designed to be run locally or in Docker, and it provides integrations with Claude Desktop, Claude Code, Gemini CLI (and its extension), VSCode, and Cursor, making it easy to configure and manage MCP-enabled tools and endpoints. Tools such as hf_doc_search and hf_doc_fetch can be enabled to enhance document discovery, and an optional Authenticate tool can be included to handle OAuth challenges when called.

MarkItDown MCP

MarkItDown MCP

MarkItDown-MCP is a lightweight MCP (Model Context Protocol) server provided as the markitdown-mcp package. It exposes a STDIO, Streamable HTTP, and SSE MCP server designed for calling MarkItDown to convert content to Markdown. The package focuses on simplicity and accessibility, enabling you to run the MCP server locally via a simple CLI, or in Docker for containerized workflows, with integration options for Claude Desktop. The core capability is exposed through a single tool, convert_to_markdown(uri), which accepts a URI in http:, https:, file:, or data: schemes to fetch content and convert it to Markdown. This MCP server is easy to install with pip and can be used in various transport modes, including STDIO and HTTP/SSE, making it a flexible choice for automations and integrations.

Feature Comparison
FeatureHugging Face MCP ServerMarkItDown MCP
Verified
Official
Tools Available32
Has Installation Guide
Has Examples
Website
Source Code
Shared Categories
Hugging Face MCP Server Tools (3)
  • hf_doc_fetch
  • hf_doc_search
  • authenticate
MarkItDown MCP Tools (2)
  • convert_to_markdown(uri)
  • mcpinspector

Can't decide? Check out both MCP servers for more details.