
RapidAPI MCP Server
MCP Server implementation for RapidAPI Global Patent API integration with SQLite storage
what is RapidAPI MCP?
RapidAPI MCP is a server implementation designed for integrating with the RapidAPI Global Patent API, facilitating the storage and retrieval of patent data using SQLite.
how to use RapidAPI MCP?
To use RapidAPI MCP, install the necessary packages, create a Conda environment, and initialize the MCP server for handling patent requests through the API.
key features of RapidAPI MCP?
- Integration with RapidAPI Global Patent API
- MCP server to manage patent requests
- SQLite database for efficient storage of patent information
- Advanced scoring system for analyzing patents
- Includes error handling and rate limiting capabilities
use cases of RapidAPI MCP?
- Retrieving patent data for research purposes in technology.
- Analyzing patents based on their scoring metrics.
- Building applications that require patent search functionalities.
FAQ from RapidAPI MCP?
- Can RapidAPI MCP handle multiple patent queries at once?
Yes, the server can process multiple requests concurrently within the set rate limits.
- Is there a limit on the number of API calls?
Yes, the service has a rate limit of 1000 requests per day and a hard cap of 500,000 total requests.
- What is required to run RapidAPI MCP?
You need Python 3.11 or higher and the required packages listed in the environment.yml file.
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)
- Clone the repository:
git clone https://github.com/myownipgit/RapidAPI-MCP.git
cd RapidAPI-MCP
- 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
- Set up environment variables:
cp .env.example .env
# Edit .env with your settings
Usage
- Initialize the MCP Server:
from patent_mcp.server import MCPPatentServer
mcp_server = MCPPatentServer()
- 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 directoryclient.py
- RapidAPI client implementationserver.py
- MCP Server implementationdatabase.py
- SQLite database operationsscoring.py
- Patent scoring system__init__.py
- Package initialization
docs/
- DocumentationSCORING.md
- Detailed scoring methodology
examples/
- Example scriptstests/
- 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 keyDB_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