Redis MCP Integration

Guide for integrating Redis database operations with PraisonAI agents using MCP

Add Redis Tool to AI Agent

Quick Start

1. Install Dependencies

   Make sure you have Node.js installed, as the MCP server requires it:

   pip install praisonaiagents mcp
   
2. Set up Redis

   Ensure you have Redis running locally or specify your Redis connection URL.

3. Create a file

   Create a new file redis_agent.py with the following code:

   from praisonaiagents import Agent, MCP
   import os
   
   # Redis connection string
   redis_url = "redis://localhost:6379"
   
   # Use a single string command with Redis configuration
   redis_agent = Agent(
       instructions="""You are a helpful assistant that can interact with Redis.
       Use the available tools when relevant to manage Redis operations.""",
       llm="gpt-4o-mini",
       tools=MCP("npx -y @modelcontextprotocol/server-redis", args=[redis_url])
   )
   
   redis_agent.start("Set a key-value pair in Redis")
   
4. Run the Agent

   Execute your script:

   python redis_agent.py
   

Requirements

• Python 3.10 or higher
• Node.js installed on your system
• Redis server running locally or remotely
• OpenAI API key (for the agent’s LLM)