Implements an MCP-compliant conversational AI server leveraging Google Gemini API with Redis-powered asynchronous request queuing, job status tracking, and seamless text generation for scalable and efficient AI interactions.
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Optional, related to Flask if used elsewhere, not core to the MCP server/worker operation
Optional, related to Flask if used elsewhere, not core to the MCP server/worker operation
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Your Google Gemini API key (fallback if ~/.api-gemini file is not present)
Maximum number of tokens for the Gemini response
2048The URL of your Redis server
redis://localhost:6379Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
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