R

Rapidapi MCP

Certified
An MCP server implementation for connecting to the RapidAPI global patent API and storing patent data
2.5 points
67

What is the RapidAPI MCP Patent Server?

This service is a middleware connecting to the RapidAPI global patent database, providing patent search, data storage, and intelligent scoring functions. It encapsulates complex patent APIs into simple and easy - to - use interfaces and adds a patent value evaluation system.

How to use the patent server?

You can access patent data through simple API requests. The system will automatically handle data acquisition, storage, and scoring. It supports keyword search, date range filtering, and paginated result retrieval.

Use cases

It is suitable for scenarios such as patent analysis, technology trend research, competitor monitoring, and patent value evaluation. It is particularly suitable for business intelligence applications that need to process patent data in batches.

Main Features

Patent API IntegrationSeamlessly connect to the RapidAPI global patent database, supporting multiple search conditions and data fields
Local Data StorageAutomatically save patent data to the SQLite database for offline analysis and historical record query
Intelligent Scoring SystemProvide a four - dimensional evaluation system of pscore (comprehensive score), cscore (citation score), lscore (legal score), and tscore (technical score)
Intelligent Rate ControlAutomatically manage API request frequency to avoid exceeding RapidAPI limits

Advantages and Limitations

Advantages
Simplify the complex calling process of patent APIs
Provide quantitative evaluation indicators for patent value
Local data storage reduces repeated API calls
Automatically handle API rate limits and error retries
Limitations
Depend on the availability and data coverage of the RapidAPI service
The free version has a daily limit of 1000 requests
The scoring algorithm may need to be adjusted according to specific fields

How to Use

Environment Preparation
Install Python 3.11 or a higher version. It is recommended to use Conda to manage the environment.
Install Dependencies
Install necessary Python packages, including the RapidAPI connector and database driver.
Configure API Key
Set your RapidAPI key and other configuration parameters in the.env file.
Start the Service
Import the MCP server class and create an instance to prepare for processing requests.

Usage Examples

Technology Trend AnalysisAnalyze technology development trends and hotspots by batch - searching patents in specific technology fields.
Competitor MonitoringRegularly obtain the patent portfolio of a specified company to monitor its technology R & D direction.

Frequently Asked Questions

How to improve the accuracy of search results?
What is the calculation basis for the scores?
What to do after reaching the API limit?

Related Resources

RapidAPI Patent API Documentation
Official API interface documentation and parameter description
GitHub Repository
Project source code and latest updates
Detailed Explanation of the Scoring System
Detailed description of the patent scoring algorithm
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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