MCP Waifu Queue (Gemini Edition)

What is MCP Waifu Queue?

MCP Waifu Queue is a server designed for conversational AI, utilizing a large language model (LLM) for text generation. It employs a Redis queue for asynchronous request processing, allowing it to handle multiple users concurrently.

How to use MCP Waifu Queue?

To use the MCP Waifu Queue, set up the server by installing the necessary dependencies, configuring your environment with a Google Gemini API key, and running the server alongside a Redis instance. Users can send text generation requests through the MCP-compliant API.

Key features of MCP Waifu Queue?

• Asynchronous request handling using Redis.
• Text generation powered by the Google Gemini API.
• Job status tracking through MCP resources.
• Simplified server management with the FastMCP library.

Use cases of MCP Waifu Queue?

1. Creating interactive conversational agents (waifus) for entertainment.
2. Generating personalized responses in chat applications.
3. Assisting in educational tools that require conversational AI.

FAQ from MCP Waifu Queue?

• What is required to run MCP Waifu Queue?

  You need Python 3.7+, a running Redis server, and a Google Gemini API key.

• Is there a way to track job status?

  Yes! You can track job status using the MCP resource provided by the server.

• Can I contribute to the project?

  Absolutely! You can fork the repository and submit a pull request with your changes.