MCP-PDF2MD
A high-performance service to convert PDFs from local files or URLs into Markdown using the Mistral AI OCR API.
MCP-PDF2MD
MCP-PDF2MD Service
An MCP-based high-performance PDF to Markdown conversion service powered by the Mistral AI OCR API, supporting batch processing for local files and URL links with structured output.
Key Features
- Format Conversion: Convert PDF files to structured Markdown format.
- Multi-source Support: Process both local PDF files and remote PDF URLs.
- MCP Integration: Seamlessly integrates with LLM clients like Claude Desktop.
- Structure Preservation: Aims to maintain the original document structure, including headings, paragraphs, and lists.
- Image Extraction: Automatically extracts images from the PDF and saves them locally.
- High-Quality Extraction: Leverages Mistral AI's state-of-the-art OCR for high-quality text and layout information extraction.
System Requirements
- Python 3.10+
uvfor environment and package management (recommended)
Quick Start
-
Clone the repository and enter the directory:
git clone https://github.com/zicez/mcp-pdf2md.git cd mcp-pdf2md -
Install dependencies with uv:
uv sync -
Configure environment variables:
Create a
.envfile in the project root directory and set your Mistral AI API key:MISTRAL_API_KEY=your_mistral_api_key_here -
Start the service:
uv run pdf2md
Command Line Arguments
The server supports the following command line arguments:
--output-dir: Specify the directory to save converted Markdown files and images. Defaults to./downloads.
Example:
uv run pdf2md --output-dir /path/to/my/output
Claude Desktop Configuration
Add the following configuration in Claude Desktop:
Windows:
{
"mcpServers": {
"pdf2md": {
"command": "uv",
"args": [
"--directory",
"C:\\path\\to\\mcp-pdf2md",
"run",
"pdf2md",
"--output-dir",
"C:\\path\\to\\output"
],
"env": {
"MISTRAL_API_KEY": "your_mistral_api_key_here"
}
}
}
}
Linux/macOS:
{
"mcpServers": {
"pdf2md": {
"command": "uv",
"args": [
"--directory",
"/path/to/mcp-pdf2md",
"run",
"pdf2md",
"--output-dir",
"/path/to/output"
],
"env": {
"MISTRAL_API_KEY": "your_mistral_api_key_here"
}
}
}
}
Note about API Key Configuration: You can set the API key in two ways:
- In the
.envfile within the project directory (recommended for development). - In the Claude Desktop configuration as shown above (recommended for regular use).
If you set the API key in both places, the one in the Claude Desktop configuration will take precedence.
MCP Tools
The server provides the following MCP tools:
convert_pdf_url(url: str): Converts a PDF from a URL to Markdown. Supports single URLs or multiple URLs separated by spaces, commas, or newlines.convert_pdf_file(file_path: str): Converts a local PDF file to Markdown. Supports single or multiple file paths separated by spaces, commas, or newlines.
Getting a Mistral AI API Key
This project relies on the Mistral AI API for PDF content extraction. To obtain an API key:
- Visit the Mistral AI Platform and create an account.
- Navigate to the "API Keys" section in your workspace.
- Create a new secret key.
- Copy the generated API key.
- Use this key as the value for
MISTRAL_API_KEY.
License
MIT License - see the LICENSE file for details.
Credits
This project uses the Mistral AI OCR API.
Verwandte Server
LimeSurvey
Manage surveys and responses in your LimeSurvey instance.
Calculator
This server enables LLMs to use calculator for precise numerical calculations.
Tana
Connects to Tana's Input API to create and manipulate data in Tana workspaces.
JIRA Zephyr
Integrates with JIRA's Zephyr test management system.
YNAB
Access and manage your YNAB (You Need A Budget) data through MCP-enabled clients.
Taiwan Holiday
Provides Taiwan national holidays and compensatory workday information. Data is fetched and cached automatically.
Issuebage MCP Server
digital badge issuing platform
MCP Google Workspace Server
An MCP server for interacting with Google Workspace services, including Drive, Docs, and Sheets.
context-distill
context-distill is an MCP server that compresses noisy command output into precise, actionable summaries for LLM workflows. Use distill_batch for large logs and distill_watch for cycle-to-cycle deltas. Built with Go, Cobra, Viper, and DI for reliable local and provider-backed distillation.
NestJsMcp
NestJS MCP Server is a powerful Model Context Protocol server that provides 40+ specialized tools for NestJS development. It integrates seamlessly with AI assistants like Claude Desktop, Cursor, Claude Code CLI, and any MCP-compatible client.