About NetMind ParsePro
NetMind ParsePro is an MCP server published by protagolabs in the Developer Tools category: a Model Context Protocol (MCP) server that parses PDF files into structured formats.
The repository has 8 stars and 2 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/protagolabs/Netmind-Parse-PDF-MCPThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about NetMind ParsePro
Powered by Claude · Grounded in docs
Security checks
Static checks derived from the repository 7 days ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- ✓Tests presentA test suite exists in the repository.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
README
NetMind ParsePro
- Try playground here
- Listed on NetMind AI Services
- Verified by MCP Review
The PDF Parser AI service, built and customized by the NetMind team, is a high-quality, robust, and cost-efficient solution for converting PDF files into specified output formats such as JSON and Markdown. It is fully MCP server–ready, allowing seamless integration with AI agents.
Components
Tools
- parse_pdf: Parses a PDF file and returns the extracted content in the specified format.
The tools supports both local file paths and remote URLs as input sources.
It extracts the content from the PDF and formats it either as structured JSON or as a Markdown string.
- source: required: The source of the PDF file to be parsed.
- If it is a string starting with "http://" or "https://", it will be treated as a remote URL.
- Otherwise, it will be treated as a local file path (absolute path recommended, e.g. "/Users/yourname/file.pdf").
- format: the desired format for the parsed output. Supports: "json", "markdown"
- Returns the extracted content in the specified format (JSON dictionary or Markdown string).
- source: required: The source of the PDF file to be parsed.
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 && Windsurf Installation
Add this tool as a mcp server by editing the Cursor/Claude/Windsurf config file.
{
"mcpServers": {
"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
- On MacOS:
~/Library/Application\ Support/Claude/claude_desktop_config.json - On Windows:
%APPDATA%/Claude/claude_desktop_config.json
Windsurf
- On MacOS:
/Users/your-username/.codeium/windsurf/mcp_config.json - On Windows:
C:\Users\your-username\.codeium\windsurf\mcp_config.json
README fetched from the repository 7 days ago. The original is authoritative.