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A Model Context Protocol (MCP) server that parses PDF files from a given URL into structured formats

Project description

parse-pdf-mcp

A Model Context Protocol (MCP) server that parses PDF files from a given URL into structured formats using netmind.ai.

Components

Tools

  • parse_pdf: Parse PDF files from a given URL and extract content in JSON or Markdown format.
    • url: required: A file url (string) pointing to a PDF file accessible via HTTP(S)
    • format: the desired format for the parsed output. Supports: "json", "markdown"
    • Returns the extracted content in the specified format (JSON dictionary or Markdown string).

Installation

Requires UV (Fast Python package and project manager)

If uv isn't installed.

# Using Homebrew on macOS
brew install uv

or

# On macOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh

# On Windows.
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Environment Variables

You can obtain an API key from Netmind

  • NETMIND_API_TOKEN: Your Netmind API key

Cursor & Claude Desktop Installation

Add this tool as a mcp server by editing the Cursor/Claude config file.

"parse-pdf": {
  "env": {
    "NETMIND_API_TOKEN": "XXXXXXXXXXXXXXXXXXXX",
  },
  "command": "uvx",
  "args": [
    "netmind_parse_pdf_mcp"
  ]
}

Cursor

  • On MacOS: /Users/your-username/.cursor/mcp.json
  • On Windows: C:\Users\your-username\.cursor\mcp.json

Claude & Windsurf

  • On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
  • On Windows: %APPDATA%/Claude/claude_desktop_config.json

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