What does RapidAPI MCP Server do vs. alternatives?
It provides an MCP interface to the RapidAPI Global Patent API and stores results in a local SQLite database with built‑in scoring.
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Basic information
MCP Server implementation for RapidAPI Global Patent API integration with SQLite storage
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"RapidAPI-MCP": {
"command": "python",
"args": [
"tests/test_connection.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP Server implementation for interfacing with the RapidAPI Global Patent API and storing patent data in a SQLite database, targeting developers working with patent searches and analysis.
Install via Conda environment, set the RAPIDAPI_KEY environment variable, then initialize MCPPatentServer and call handle_patent_request() with a search command and parameters.
It provides an MCP interface to the RapidAPI Global Patent API and stores results in a local SQLite database with built‑in scoring.
Python 3.11 or higher; packages in `environment.yml` (requests, aiohttp, python-dotenv, pytest, rapidapi-connect).
In a SQLite database at the path specified by the `DB_PATH` environment variable (defaults to `./patents.db`).
1000 requests per day, with a hard limit of 500,000 requests.
A RapidAPI API key set as the `RAPIDAPI_KEY` environment variable.

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