What models can be used?
The server uses the model specified in `~/.model-openrouter` or defaults to `openrouter/free`. You can use any model available via the OpenRouter API.
@waifuai
Basic information
FastMCP server for asynchronous conversational AI using OpenRouter API via Redis queue/worker architecture. GPU inference support, environment-variable configuration, and deployment-ready setup.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-waifu-queue": {
"command": "python",
"args": [
"-m",
"uv",
"venv",
".venv"
]
}
}
}** Sends a text generation request to the OpenRouter API via the background queue.
MCP Waifu Queue (Gemini Edition) is an MCP server for a conversational AI “waifu” character. It uses the OpenRouter API (via a Redis queue) for asynchronous text generation and is built with the FastMCP library.
Install dependencies and configure OpenRouter API key and model selection (via environment variables or home‑directory files). Start a Redis server, then run the RQ worker (python -m mcp_waifu_queue.worker) and the MCP server (e.g., with uvicorn mcp_waifu_queue.main:app). Clients interact with the generate_text tool and the job://{job_id} resource.
The server uses the model specified in `~/.model-openrouter` or defaults to `openrouter/free`. You can use any model available via the OpenRouter API.
Obtain a key from [openrouter.ai](https://openrouter.ai/) and set it as the `OPENROUTER_API_KEY` environment variable or place it in `~/.api-openrouter`.
Redis is required to queue text generation requests. The RQ worker picks up jobs from the queue and processes them asynchronously.
After calling the `generate_text` tool, you receive a `job_id`. Use the `job://{job_id}` MCP resource to retrieve the job status and result.
Python 3.7+, a running Redis server, and the packages listed in `requirements.txt`. The server also needs an OpenRouter API key and network access to OpenRouter.

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