Markdownify MCP▌
by zcaceres
Convert almost anything to Markdown. Transforms PDFs, images, web pages, DOCX, XLSX, and other formats into clean Markdo
Convert almost anything to Markdown. Transforms PDFs, images, web pages, DOCX, XLSX, and other formats into clean Markdown that AI assistants can read and analyze. 2,400+ GitHub stars.
github stars
★ 2.4K
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Content creators processing diverse file formats
- / Researchers analyzing documents with AI assistants
- / Developers building document processing workflows
capabilities
- / Convert PDFs to Markdown
- / Transform images to readable text
- / Extract YouTube video transcripts
- / Convert Office documents (DOCX, XLSX, PPTX)
- / Turn web pages into Markdown
- / Transcribe audio files to text
what it does
Converts various file formats (PDFs, images, DOCX, XLSX, web pages, YouTube videos) into clean Markdown that AI assistants can read and analyze.
about
Markdownify MCP is a community-built MCP server published by zcaceres that provides AI assistants with tools and capabilities via the Model Context Protocol. Convert almost anything to Markdown. Transforms PDFs, images, web pages, DOCX, XLSX, and other formats into clean Markdo It is categorized under productivity, developer tools.
how to install
You can install Markdownify MCP in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Markdownify MCP is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Markdownify MCP Server
Help! I need someone with a Windows computer to help me add support for Markdownify-MCP on Windows. PRs exist but I cannot test them. Post here if interested.

Markdownify is a Model Context Protocol (MCP) server that converts various file types and web content to Markdown format. It provides a set of tools to transform PDFs, images, audio files, web pages, and more into easily readable and shareable Markdown text.
<a href="https://glama.ai/mcp/servers/bn5q4b0ett"><img width="380" height="200" src="https://glama.ai/mcp/servers/bn5q4b0ett/badge" alt="Markdownify Server MCP server" /></a>
Features
- Convert multiple file types to Markdown:
- Images
- Audio (with transcription)
- DOCX
- XLSX
- PPTX
- Convert web content to Markdown:
- YouTube video transcripts
- Bing search results
- General web pages
- Retrieve existing Markdown files
Getting Started
- Clone this repository
- Install dependencies:
pnpm install
Note: this will also install uv and related Python depdencies.
- Build the project:
pnpm run build - Start the server:
pnpm start
Development
- Use
pnpm run devto start the TypeScript compiler in watch mode - Modify
src/server.tsto customize server behavior - Add or modify tools in
src/tools.ts
Usage with Desktop App
To integrate this server with a desktop app, add the following to your app's server configuration:
{
"mcpServers": {
"markdownify": {
"command": "node",
"args": [
"{ABSOLUTE PATH TO FILE HERE}/dist/index.js"
],
"env": {
// By default, the server will use the default install location of `uv`
"UV_PATH": "/path/to/uv"
}
}
}
}
Available Tools
-
youtube-to-markdown: Convert YouTube videos to Markdown -
pdf-to-markdown: Convert PDF files to Markdown -
bing-search-to-markdown: Convert Bing search results to Markdown -
webpage-to-markdown: Convert web pages to Markdown -
image-to-markdown: Convert images to Markdown with metadata -
audio-to-markdown: Convert audio files to Markdown with transcription -
docx-to-markdown: Convert DOCX files to Markdown -
xlsx-to-markdown: Convert XLSX files to Markdown -
pptx-to-markdown: Convert PPTX files to Markdown -
get-markdown-file: Retrieve an existing Markdown file. File extension must end with: *.md, *.markdown.OPTIONAL: set
MD_SHARE_DIRenv var to restrict the directory from which files can be retrieved, e.g.MD_SHARE_DIR=[SOME_PATH] pnpm run start
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
FAQ
- What is the Markdownify MCP MCP server?
- Markdownify MCP is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Markdownify MCP?
- This profile displays 67 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★67 reviews- ★★★★★Maya Mehta· Dec 28, 2024
We evaluated Markdownify MCP against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Maya Iyer· Dec 28, 2024
I recommend Markdownify MCP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Meera Kapoor· Dec 28, 2024
Markdownify MCP reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Zaid Flores· Dec 28, 2024
Strong directory entry: Markdownify MCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Amina Bansal· Dec 24, 2024
According to our notes, Markdownify MCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Shikha Mishra· Dec 12, 2024
Markdownify MCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Sakshi Patil· Nov 23, 2024
According to our notes, Markdownify MCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Ishan Abbas· Nov 19, 2024
Markdownify MCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Zaid Torres· Nov 19, 2024
Useful MCP listing: Markdownify MCP is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Kabir Abebe· Nov 19, 2024
Markdownify MCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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