
Image Processor Mcp
from protagolabs
An MCP server that provides tools for downloading, compressing, optimizing images, and extracting text via OCR. Built using the Model Context Protocol (MCP), this server enables AI assistants to download images from URLs or search, compress and convert images with various format options, batch process entire directories with auto-generated reports, synchronize filename references across your project, and extract printed text from images.
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 serverβready, 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 uvor
# 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
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.
Licensed under MITβ you can use, modify, and redistribute it under that license's terms.
View the full license file on GitHub β