> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Agno MCP

> Query the Agno docs MCP server over streamable HTTP with MCPTools and a Claude agent.

```python agno_mcp.py theme={null}
"""
Agno Mcp
=============================

Demonstrates agno mcp.
"""

import asyncio

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

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------


async def run_agent(message: str) -> None:
    async with MCPTools(
        transport="streamable-http", url="https://docs.agno.com/mcp"
    ) as agno_mcp_server:
        agent = Agent(
            model=Claude(id="claude-sonnet-4-5"),
            tools=[agno_mcp_server],
            markdown=True,
        )
        await agent.aprint_response(input=message, stream=True)


# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    asyncio.run(run_agent("What is Agno?"))
```

## Run the Example

<Snippet file="create-venv-step.mdx" />

**1. Install dependencies**

```bash theme={null}
uv pip install -U "agno[mcp]" anthropic
```

**2. Export your Anthropic API key**

```bash Mac/Linux theme={null}
export ANTHROPIC_API_KEY="your_anthropic_api_key_here"
```

```bash Windows theme={null}
$Env:ANTHROPIC_API_KEY="your_anthropic_api_key_here"
```

**3. Run the example**

Save the code above as `agno_mcp.py`, then run:

```bash theme={null}
python agno_mcp.py
```

Full source: [cookbook/91\_tools/mcp/agno\_mcp.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/91_tools/mcp/agno_mcp.py)


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