Advertise
MCP.so
Sign In

MCP Waifu Queue (Gemini Edition)

@waifuai

Repository

Basic information

Category

AI & Agents

License

MIT-0

Transports

stdio

Author

waifuai

About MCP Waifu Queue

FastMCP server for asynchronous conversational AI using OpenRouter API via Redis queue/worker architecture. GPU inference support, environment-variable configuration, and deployment-ready setup.

#mcp#waifu#queue#conversational-ai#text-generation

MCP Waifu Queue config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-waifu-queue": {
      "command": "python",
      "args": [
        "-m",
        "uv",
        "venv",
        ".venv"
      ]
    }
  }
}

MCP Waifu Queue tools

1

** Sends a text generation request to the OpenRouter API via the background queue.

Overview

What is MCP Waifu Queue (Gemini Edition)?

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.

How to use MCP Waifu Queue (Gemini Edition)?

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.

Key features of MCP Waifu Queue (Gemini Edition)

  • Text generation via OpenRouter using a configurable model.
  • Request queuing with Redis for asynchronous processing.
  • MCP‑compliant API using the FastMCP library.
  • Job status tracking through MCP resources.
  • API key loading from environment variables or file fallbacks.
  • Pydantic‑based request and response validation.

Use cases of MCP Waifu Queue (Gemini Edition)

  • Building a conversational AI assistant with a predefined character.
  • Queuing long‑running text generation requests without blocking the client.
  • Integrating a waifu chatbot into MCP‑compatible tools and agents.
  • Offloading generation workloads to a background worker for scalability.

Frequently asked questions

1

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.

2

How do I get an OpenRouter API key?

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`.

3

What is Redis used for?

Redis is required to queue text generation requests. The RQ worker picks up jobs from the queue and processes them asynchronously.

4

How can I check the status of a submitted job?

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.

5

What are the runtime dependencies?

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.

Comments

More AI & Agents MCP servers

Plainpaper

Plainpaper

The AI marketing canvas for Claude and MCP agents. Your agent drafts campaigns as cards on a shared board, briefed by your brand rules, approved by you.

CrawlForge MCP Server

mysleekdesigns

28-tool MCP server for web scraping, crawling, deep research & autonomous extraction — clean Markdown & structured JSON for Claude, Cursor & any MCP client. 1,000 free one-time credits, local-Ollama LLM support.

2
L

Legion MCP

faulkj

MCP-native LLM councils for debates, juries, blind panels, voting, refinement, and custom multi-model deliberation.

1

Voibe Transcription

Ayush Chaturvedi

Give ears to Claude/Openclaw/Hermes/Codex/Grok Bot. Voibe turns recordings into text your AI agent can work with. Ask your agent to transcribe a meeting, interview, call, lecture, podcast episode or voice memo. The raw

q-ring

I4cTime

Quantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation — CLI + 44 MCP tools.

3
Advertise