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MCP Comparison

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

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.

Graphiti MCP Server

Graphiti MCP Server

Graphiti MCP Server is an experimental implementation that exposes Graphiti's real-time, temporally-aware knowledge graph capabilities through the MCP (Model Context Protocol) interface. It enables AI agents and MCP clients to interact with Graphiti's knowledge graph for structured extraction, reasoning, and memory across conversations, documents, and enterprise data. The server supports multiple backends (FalkorDB by default and Neo4j), a variety of LLM providers (OpenAI, Anthropic, Gemini, Groq, Azure OpenAI), and multiple embedder options, all accessible via an HTTP MCP endpoint at /mcp/ for broad client compatibility. It also includes queue-based asynchronous episode processing, rich entity types for structured data, and flexible configuration through config.yaml, environment variables, or CLI arguments.

Feature Comparison
FeatureMarkItDown MCPGraphiti MCP Server
Verified
Official
Tools Available29
Has Installation Guide
Has Examples
Website
Source Code
Shared Categories
MarkItDown MCP Tools (2)
  • convert_to_markdown(uri)
  • mcpinspector
Graphiti MCP Server Tools (9)
  • add_episode
  • search_nodes
  • search_facts
  • delete_entity_edge
  • delete_episode
  • get_entity_edge
  • get_episodes
  • clear_graph
  • get_status

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