NetMind ParsePro
Parses PDF files from a URL into structured formats like JSON and Markdown.
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
Related Servers
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Claude Project Memory MCP
Manages project memory and implementation logs for Claude Code using local project files.
Authless Remote MCP Server
An authentication-free, remote MCP server designed for deployment on Cloudflare Workers.
AgentLux MCP Server
Installable MCP server for AgentLux marketplace, identity, creator, services, social, and Base/x402 commerce flows.
AIC
Local-first MCP server that sits transparently between your AI editor and any model, classifying intent, selecting the right files, and compiling focused context — with zero manual invocation
DocsFetcher
Fetches package documentation from various language ecosystems without requiring API keys.
AST2LLM for Go
An AST-powered tool that enhances LLM context by automatically injecting relevant Go code structures into prompts.
Flame MCP Server
Provides live, up-to-date documentation for the Flame game engine.
VectorMCP
A Ruby gem for building Model Context Protocol (MCP) servers to expose tools, resources, and prompts to LLM clients.
Azure DevOps MCP Server for Cursor
An MCP server for Azure DevOps with tools for project management, work items, pull requests, builds, tests, and more.
YepCode
Execute any LLM-generated code in the YepCode secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages