MCP OCR Server
An MCP server for Optical Character Recognition (OCR) using the Tesseract engine.
MCP OCR Server
A production-grade OCR server built using MCP (Model Context Protocol) that provides OCR capabilities through a simple interface.
Features
- Extract text from images using Tesseract OCR
- Support for multiple input types:
- Local image files
- Image URLs
- Raw image bytes
- Automatic Tesseract installation
- Support for multiple languages
- Production-ready error handling
Installation
# Using pip
pip install mcp-ocr
# Using uv
uv pip install mcp-ocr
Tesseract will be installed automatically on supported platforms:
- macOS (via Homebrew)
- Linux (via apt, dnf, or pacman)
- Windows (manual installation instructions provided)
Usage
As an MCP Server
- Start the server:
python -m mcp_ocr
- Configure Claude for Desktop:
Add to
~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"ocr": {
"command": "python",
"args": ["-m", "mcp_ocr"]
}
}
}
Available Tools
perform_ocr
Extract text from images:
# From file
perform_ocr("/path/to/image.jpg")
# From URL
perform_ocr("https://example.com/image.jpg")
# From bytes
perform_ocr(image_bytes)
get_supported_languages
List available OCR languages:
get_supported_languages()
Development
- Clone the repository:
git clone https://github.com/rjn32s/mcp-ocr.git
cd mcp-ocr
- Set up development environment:
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv pip install -e .
- Run tests:
pytest
Contributing
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Security
- Never commit API tokens or sensitive credentials
- Use environment variables or secure credential storage
- Follow GitHub's security best practices
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
相關伺服器
Current Time JST
Provides the current time in Japan Standard Time (JST, UTC+9).
Philidor MCP
DeFi vault risk analytics for AI agents. Search 700+ vaults across Morpho, Aave, Yearn, Beefy, Spark, and more. Compare risk scores, analyze protocols, run due diligence — all through natural language. No API key required. No installation needed.
Quiz MCP
MCP server for interactive quizzes
Atris MCP for Audius
Access the Audius music platform via LLMs, with 105 tools covering most of the Audius Protocol API.
Web-Algebra
Suite of generic Linked Data/SPARQL as well as LinkedDataHub-specific MCP tools
TestDino
TestDino MCP enhances your AI assistant with advanced tooling and diagnostic insights. It enables your AI assistant perform test-run analysis, see root-cause detection, and identify recurring failure patterns.
aTars MCP by aarna
aTars MCP by aarna provides AI agents with structured access to crypto market signals, technical indicators, and sentiment analysis.
Medical Terminologies MCP
Unified access to global medical terminologies: ICD-11, SNOMED CT, LOINC, RxNorm, MeSH. 27 tools for medical coding, terminology lookup, and crosswalk mappings.
Sequential Ethical Thinking
A tool for structured, step-by-step ethical reasoning using multiple moral frameworks for transparent deliberation.
inspirehep-mcp
InspireHEP MCP Server - integrate high-energy physics literature with LLMs.