amitsh06_mcp-server
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A server implementation of the Model Context Protocol (MCP) to enable AI assistants like Claude to interact with Google's Gemini API.
The MCP Gemini Server is designed to facilitate communication between AI assistants and Google's Gemini models through the Model Context Protocol. This server allows AI systems to perform tasks such as text generation, text analysis, and maintaining chat conversations by interfacing with the Gemini API. The server is built to handle client-server communication securely, process requests efficiently, and provide robust error handling and logging. It supports environment variables for secure storage of sensitive information and offers tools for API testing and debugging. The server is implemented in Python and requires a Google AI API key for operation. It is designed to be easily set up and run on local machines, providing a straightforward way for developers to integrate advanced AI capabilities into their applications.
Features
- Client-Server Communication: Implements MCP protocol for secure message exchange between client and server.
- Message Processing: Handles and processes client requests, sending appropriate responses.
- Error Handling & Logging: Logs server activities and ensures smooth error recovery.
- Environment Variables Support: Uses .env file for storing sensitive information securely.
- API Testing & Debugging: Supports manual and automated testing using Postman and test scripts.