OpenRouter MCP Integration

Guide for integrating OpenRouter models with PraisonAI agents using MCP

Add OpenRouter Tool to AI Agent

Quick Start

1. Set API Key

   Set your OpenRouter API key as an environment variable in your terminal:

   export OPENROUTER_API_KEY=your_openrouter_api_key_here
   
2. Create a file

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

   from praisonaiagents import Agent, MCP
   
   search_agent = Agent(
       instructions="""You help book apartments on Airbnb.""",
       llm="openrouter/google/gemini-2.0-flash-exp:free",
       tools=MCP("npx -y @openbnb/mcp-server-airbnb --ignore-robots-txt")
   )
   
   search_agent.start("MUST USE airbnb_search Tool to Search. Search for Apartments in Paris for 2 nights. 04/28 - 04/30 for 2 adults. All Your Preference")
   
3. Install Dependencies

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

   pip install "praisonaiagents[llm]"
   
4. Run the Agent

   Execute your script:

   python openrouter_airbnb.py
   

Requirements

• Python 3.10 or higher
• Node.js installed on your system
• OpenRouter API key

Features

Model Flexibility

Access to various models through OpenRouter’s unified API.

MCP Integration

Seamless integration with Model Context Protocol.

Airbnb Search

Search for accommodations on Airbnb with natural language queries.

Cost Effective

Use free tier models like Gemini Flash through OpenRouter.