mcp_server_example.py
"""
Example AgentOS app with MCP enabled.
After starting this AgentOS app, you can test the MCP server with the test_client.py file.
"""
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.websearch import WebSearchTools
# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------
# 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-4-5"),
db=db,
tools=[WebSearchTools()],
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],
mcp_server=True, # This enables a LLM-friendly MCP server at /mcp
)
app = agent_os.get_app()
# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
"""Run your AgentOS.
You can see view your LLM-friendly MCP server at:
http://localhost:7777/mcp
"""
agent_os.serve(app="mcp_server_example:app")
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U "agno[mcp,os]" anthropic ddgs
3
Export your Anthropic API key
export ANTHROPIC_API_KEY="your_anthropic_api_key_here"
$Env:ANTHROPIC_API_KEY="your_anthropic_api_key_here"
4
Run the example
Save the code above as
mcp_server_example.py, then run:python mcp_server_example.py