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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.

NCP - Natural Context Provider (NCP)

NCP - Natural Context Provider (NCP)

NCP is a unified MCP platform that consolidates 50+ tools, skills, and Photons into a single, intelligent interface. It enables code-mode execution, on-demand loading, scheduling, and semantic tool discovery, dramatically reducing token usage and latency while enabling AI assistants to work with external MCPs, skills, and Photons. This documentation covers how NCP works, the available MCPs and tools, installation and integration steps for popular clients (Claude Desktop, VS Code, and more), and practical examples that demonstrate how to find, run, and compose tools across MCPs. Whether you’re building with internal MCPs or exploring external tools, NCP provides a scalable, vendor-agnostic foundation for AI-powered automation and tool orchestration.

Feature Comparison
FeatureMarkItDown MCPNCP - Natural Context Provider (NCP)
Verified
Official
Tools Available214
Has Installation Guide
Has Examples
Website
Source Code
Shared Categories
MarkItDown MCP Tools (2)
  • convert_to_markdown(uri)
  • mcpinspector
NCP - Natural Context Provider (NCP) Tools (14)
  • find
  • code
  • run
  • web.search
  • web.read
  • read_file
  • get_file_content
  • filesystem
  • sequential-thinking
  • memory
  • +4 more tools

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