Enable AgentOS MCP

Complete AgentOS setup with MCP support enabled

Code

cookbook/06_agent_os/mcp/enable_mcp_example.py

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.anthropic import Claude
from agno.os import AgentOS
from agno.tools.hackernews import HackerNewsTools

# Setup the database
db = SqliteDb(db_file="tmp/agentos.db")

# Setup basic research agent
web_research_agent = Agent(
    id="web-research-agent",
    name="Web Research Agent",
    model=Claude(id="claude-sonnet-4-0"),
    db=db,
    tools=[HackerNewsTools()],
    add_history_to_context=True,
    num_history_runs=3,
    add_datetime_to_context=True,
    enable_session_summaries=True,
    markdown=True,
)

# Setup our AgentOS with MCP enabled
agent_os = AgentOS(
    description="Example app with MCP enabled",
    agents=[web_research_agent],
    enable_mcp_server=True,  # This enables a LLM-friendly MCP server at /mcp
)

app = agent_os.get_app()

if __name__ == "__main__":
    """Run your AgentOS.

    You can see view your LLM-friendly MCP server at:
    http://localhost:7777/mcp

    """
    agent_os.serve(app="enable_mcp_example:app")

Define a local test client

test_client.py

import asyncio

from agno.agent import Agent
from agno.models.anthropic import Claude
from agno.tools.mcp import MCPTools

# This is the URL of the MCP server we want to use.
server_url = "http://localhost:7777/mcp"


async def run_agent(message: str) -> None:
    async with MCPTools(transport="streamable-http", url=server_url) as mcp_tools:
        agent = Agent(
            model=Claude(id="claude-sonnet-4-0"),
            tools=[mcp_tools],
            markdown=True,
        )
        await agent.aprint_response(input=message, stream=True, markdown=True)


# Example usage
if __name__ == "__main__":
    asyncio.run(run_agent("Which agents do I have in my AgentOS?"))

Usage

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Set Environment Variables

   export ANTHROPIC_API_KEY=your_anthropic_api_key
   
3. Install dependencies

   uv pip install -U agno anthropic fastapi uvicorn sqlalchemy pgvector psycopg
   
4. Setup PostgreSQL Database

   # Using Docker
   docker run -d \
     --name agno-postgres \
     -e POSTGRES_DB=ai \
     -e POSTGRES_USER=ai \
     -e POSTGRES_PASSWORD=ai \
     -p 5532:5432 \
     pgvector/pgvector:pg17
   
5. Run Server

   Mac

   python cookbook/06_agent_os/mcp/enable_mcp_example.py
   

   python cookbook/06_agent_os/mcp/enable_mcp_example.py
   
6. Run Test Client

   Mac

   python cookbook/06_agent_os/mcp/test_client.py
   

   python cookbook/06_agent_os/mcp/test_client.py