MCP Waifu Queue

MCP Waifu Queue

Public
waifuai/mcp-waifu-queue

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.

python
0 tools
May 29, 2025
Updated Jun 4, 2025

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MCP Server

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Configuration Requirements
API Key
Configure authentication and required variables to access this MCP server
Required Environment Variables
MAX_NEW_TOKENS
Optional
string

Maximum number of tokens for the Gemini response

Default: 2048
REDIS_URL
Optional
string

The URL of your Redis server

Default: redis://localhost:6379
FLASK_APP
Optional
string

Optional, related to Flask if used elsewhere, not core to the MCP server/worker operation

FLASK_ENV
Optional
string

Optional, related to Flask if used elsewhere, not core to the MCP server/worker operation

GEMINI_API_KEY
Optional
string

Your Google Gemini API key (fallback if ~/.api-gemini file is not present)

Security Notice

Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.

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