ocr-mcp
Enables OCR-based text, table, handwriting, and formula recognition from images via MCP, supporting local files and URLs for integration with AI assistants.
README
OCR MCP Service
MCP service for OCR tasks powered by PaddleOCR.
Features
- Text recognition from images
- Table recognition with simple structured output
- Handwriting recognition
- Formula recognition with LaTeX output
- Local file paths and HTTP/HTTPS URLs
- MCP stdio server for desktop or agent integrations
Installation
From PyPI
pip install ocr-mcp
From source
git clone https://github.com/LinuxLinking/OCR_MCP.git
cd OCR_MCP
pip install -e .
Usage
Run the MCP server:
ocr-mcp
Or:
python -m ocr_mcp
Claude Desktop
Add this to your Claude Desktop config:
{
"mcpServers": {
"ocr": {
"command": "ocr-mcp",
"args": []
}
}
}
Tools
ocr_recognize
Recognize text in an image.
sourcerequired, local path or URLlanguageoptional, defaultch, supportsch,en,japan,koreanuse_angle_clsoptional, defaulttrue
ocr_table
Recognize a table and return a text table.
sourcerequired, local path or URLlanguageoptional, defaultch
ocr_handwrite
Recognize handwriting in an image.
sourcerequired, local path or URLlanguageoptional, defaultch
ocr_formula
Recognize formulas and return LaTeX.
sourcerequired, local path or URL
Development
pip install -e ".[dev]"
pytest tests/ -v
Project Layout
src/ocr_mcp/
__init__.py
__main__.py
server.py
ocr_engine.py
table_parser.py
formula_engine.py
utils.py
tests/
pyproject.toml
LICENSE
README.md
Dependencies
- PaddleOCR
- PaddlePaddle
- OpenCV
- MCP
License
MIT. See LICENSE.
Related
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.