A
licenseA
qualityF
maintenanceAn MCP server that exports PDF documents to markdown format optimized for LLM processing.
1
1
BSD 3-Clause
pymupdf4llm-mcp
Officialby pymupdf
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@pymupdf4llm-mcpconvert report.pdf to markdown"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
pymupdf4llm-mcp
MCP Server for pymupdf4llm, best for export PDF to markdown for LLM.
Quick Start
Run the following command to run the MCP server:
uvx pymupdf4llm-mcp@latest stdio # stdio mode
# or
uvx pymupdf4llm-mcp@latest sse # sse modeConfigure your cursor/windsurf/... and other MCP client to this server:
{
"mcpServers": {
"pymupdf4llm-mcp": {
"command": "uvx",
"args": [
"pymupdf4llm-mcp@latest",
"stdio"
],
"env": {}
}
}
}Related MCP server: flint-slating
Testing
Ensure you have Snapshot installed:
pip install inline-snapshot
Then from the root folder of the repo run:
python -m pytestPublishing
Assuming you have an access token.
Bump pyproject.toml:3 version first, then:
make build
make publishThis server cannot be installed
Maintenance
ActivityStale
ResponsivenessNo issues
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.
Hosted MCP server: convert PDFs to clean, LLM-ready Markdown with tables, formulas and OCR.
HTML-to-PDF MCP server — render pixel-faithful PDFs from HTML.
Related MCP Servers
- AlicenseNot gradedqualityBmaintenanceMCP server that reads PDFs and exposes them as structured Markdown, metadata, outlines, images, and tables to LLM consumers via tools like pdf_read_markdown and pdf_info.Apache 2.0
- FlicenseNot gradedqualityDmaintenanceMCP server for extracting text from PDF files, supporting local files and URLs.-
- MIT