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RapidAPI MCP Server

by myownipgit

This repository provides an MCP Server implementation for interacting with the RapidAPI Global Patent API. It stores patent data in a SQLite database and provides patent scoring.

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What is RapidAPI MCP Server?

The RapidAPI MCP Server is an implementation that interfaces with the RapidAPI Global Patent API to retrieve and store patent data in a SQLite database. It provides an MCP (Message Control Protocol) server for handling patent requests and includes a patent scoring system.

How to use RapidAPI MCP Server?

To use the server, clone the repository, set up the environment using Conda, configure environment variables (including your RapidAPI key), initialize the MCP Server in your Python code, and then send patent search requests to the server.

Key features of RapidAPI MCP Server

  • RapidAPI Global Patent API integration

  • MCP Server implementation

  • SQLite database integration

  • Advanced patent scoring system (pscore, cscore, lscore, tscore)

  • Rate limiting and error handling

Use cases of RapidAPI MCP Server

  • Patent data analysis

  • Patent search and retrieval

  • Building patent-related applications

  • Developing patent scoring models

  • Integrating patent data into existing systems

FAQ from RapidAPI MCP Server

What is the purpose of the MCP Server?

The MCP Server handles patent requests and interacts with the RapidAPI Global Patent API.

What database is used to store patent data?

The server uses a SQLite database to store patent data.

What is the patent scoring system?

The patent scoring system includes Patent Score (pscore), Citation Score (cscore), Legal Score (lscore), and Technology Score (tscore).

How do I configure the server?

The server is configured using environment variables, including the RapidAPI key and database path.

What are the rate limits for the RapidAPI service?

The RapidAPI service has a limit of 1000 requests per day and a hard limit of 500000.