What is Rapidapi Mcp

RapidAPI-MCP is an implementation of an MCP Server designed for interfacing with the RapidAPI Global Patent API, enabling the storage and management of patent data using SQLite.

Use cases

Use cases for RapidAPI-MCP include conducting patent searches, analyzing patent trends, scoring patents based on various metrics, and integrating patent data into other applications.

How to use

To use RapidAPI-MCP, clone the repository, set up a conda environment, configure environment variables, and initialize the MCP Server to handle patent search requests.

Key features

Key features include integration with the RapidAPI Global Patent API, an MCP Server for managing patent requests, SQLite database for data storage, an advanced patent scoring system, and built-in rate limiting and error handling.

Where to use

RapidAPI-MCP can be used in fields such as legal technology, research and development, intellectual property management, and any application requiring patent data retrieval and analysis.

RapidAPI MCP Server

This repository contains an implementation of an MCP Server for interfacing with the RapidAPI Global Patent API and storing patent data in a SQLite database.

Features

• RapidAPI Global Patent API integration
• MCP Server implementation for handling patent requests
• SQLite database integration for patent data storage
• Advanced patent scoring system (pscore, cscore, lscore, tscore)
• Rate limiting and error handling

Installation

Using Conda (Recommended)

1. Clone the repository:

git clone https://github.com/myownipgit/RapidAPI-MCP.git
cd RapidAPI-MCP

2. Create and activate conda environment:

# Create environment from yml file
conda env create -f environment.yml

# Activate environment
conda activate rapidapi-mcp

Alternatively, you can create the environment manually:

# Create new environment with Python 3.11
conda create -n rapidapi-mcp python=3.11

# Activate environment
conda activate rapidapi-mcp

# Install required packages
conda install -c conda-forge requests aiohttp python-dotenv pytest
pip install rapidapi-connect

3. Set up environment variables:

cp .env.example .env
# Edit .env with your settings

Usage

1. Initialize the MCP Server:

from patent_mcp.server import MCPPatentServer

mcp_server = MCPPatentServer()

2. Handle patent search requests:

search_request = {
    'command': 'search',
    'params': {
        'query': 'quantum computing',
        'date_range': '2004-2024',
        'page': 1,
        'per_page': 100
    }
}

results = await mcp_server.handle_patent_request(search_request)

Testing

To run the tests, activate your conda environment and run:

# Run the connection test
python tests/test_connection.py

# Run all tests with pytest
python -m pytest tests/

Project Structure

• patent_mcp/ - Main package directory
  • client.py - RapidAPI client implementation
  • server.py - MCP Server implementation
  • database.py - SQLite database operations
  • scoring.py - Patent scoring system
  • __init__.py - Package initialization
• docs/ - Documentation
  • SCORING.md - Detailed scoring methodology
• examples/ - Example scripts
• tests/ - Unit tests

Requirements

• Python 3.11 or higher
• Required packages are listed in environment.yml

Scoring System

The system implements a comprehensive patent scoring methodology:

• Patent Score (pscore): Overall patent strength
• Citation Score (cscore): Citation impact analysis
• Legal Score (lscore): Legal status evaluation
• Technology Score (tscore): Technical complexity assessment

See SCORING.md for detailed information.

Configuration

The server uses the following environment variables:

• RAPIDAPI_KEY: Your RapidAPI API key
• DB_PATH: Path to SQLite database (optional, defaults to ./patents.db)
• Additional configuration options in .env

Rate Limits

The RapidAPI service has the following limits:

• 1000 requests per day
• 500000 hard limit

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see LICENSE file for details