An MCP tool providing access to MarkItDown, a library for converting various file formats to Markdown for LLM consumption.
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Markdownify is a Model Context Protocol (MCP) server that converts various file types and web content to Markdown format. It enables powerful workflows by transforming PDFs, images, audio files, and web pages into Markdown text, making it a valuable tool for the MCP ecosystem.
An MCP server that offers various file conversion tools for AI agents, supporting a wide range of document and image format conversions.
An MCP server integrating with the HackMD API, enabling document operations (creation, reading, updating, deletion) within collaborative markdown environments via MCP. Directly relevant as an MCP server.
An MCP server that securely integrates with your iMessage database, enabling LLMs to query and analyze iMessagesâshowcasing advanced MCP server capabilities.
MCP server enabling access to Dumpling AI's data, web scraping, and document conversion APIs in an MCP-compliant manner.
An MCP server that enables multiple LLMs to share and analyze responses for collaborative problem-solving and multi-perspective analysis using the Model Context Protocol. Directly relevant as an MCP server.
Category: File Management MCP Servers
Tags: markdown, document-conversion, llm, mcp
markitdown-mcp is a lightweight MCP (Model Context Protocol) server for accessing MarkItDown, a library that converts various file formats to Markdown for use with large language models (LLMs). It provides a simple interface for converting files accessible via HTTP(S), file, or data URIs to Markdown via a single tool: convert_to_markdown(uri).
convert_to_markdown(uri) tool, which accepts URIs (http:, https:, file:, data:) and converts the referenced file to Markdown.mcpinspector tool, supporting both STDIO and SSE transports.pip install markitdown-mcpmarkitdown-mcpmarkitdown-mcp --sse --host 127.0.0.1 --port 3001docker run -it --rm markitdown-mcp:latestdocker run -it --rm -v /home/user/data:/workdir markitdown-mcp:latestclaude_desktop_config.json to use the Docker-run MCP server.