Redis MCP Integration

Guide for integrating Redis database operations with PraisonAI agents using MCP

MCP(...) accepts three equivalent construction forms — see Three equivalent forms.

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