Ollama MCP Integration

Guide for integrating Ollama models with PraisonAI agents using MCP

Add Ollama Tool to AI Agent

Quick Start

1. Set Up Ollama

   Make sure you have Ollama installed and running locally:

   # Install Ollama from https://ollama.ai/
   # Pull the llama3.2 model
   ollama pull llama3.2
   
2. Create a file

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

   from praisonaiagents import Agent, MCP
   
   search_agent = Agent(
       instructions="""You help book apartments on Airbnb.""",
       llm="ollama/llama3.2",
       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 ollama_airbnb.py
   

Requirements

• Python 3.10 or higher
• Node.js installed on your system
• Ollama installed and running locally

Features

Local LLM

Run models locally using Ollama without relying on external APIs.

MCP Integration

Seamless integration with Model Context Protocol.

Airbnb Search

Search for accommodations on Airbnb with natural language queries.

Privacy-Focused

Keep sensitive data local with on-device inference.