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

# MCP Graphiti Agent - A personal diary assistant

> Use Agno's MCP integration together with Graphiti, to build a personal diary assistant.

Use Agno's MCP integration with Graphiti to build a personal diary assistant that stores and recalls entries from a knowledge graph.

```python graphiti.py theme={null}
"""
 MCP Graphiti Agent - A personal diary assistant

This example demonstrates how to use Agno's MCP integration together with Graphiti, to build a personal diary assistant.

- Run your Graphiti MCP server. Full instructions: https://github.com/getzep/graphiti/tree/main/mcp_server
- Run: `uv pip install agno mcp openai` to install the dependencies
"""

import asyncio
from textwrap import dedent

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.mcp import MCPTools

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


mcp_server_url = "http://localhost:8000/sse"


async def run_agent(message: str) -> None:
    async with MCPTools(url=mcp_server_url, transport="sse") as mcp_tools:
        agent = Agent(
            tools=[mcp_tools],
            model=OpenAIChat(id="o3-mini"),
            instructions=dedent(
                """
                You are an assistant with access to tools related to Graphiti's knowledge graph capabilities.
                You maintain a diary for the user.
                Your job is to help them add new entries and use the diary data to answer their questions.
                """
            ),
        )
        await agent.aprint_response(message, stream=True)


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

if __name__ == "__main__":
    asyncio.run(
        # Using the agent to add new entries to the diary
        run_agent(
            "Add the following entry to the diary: 'Today I spent some time building agents with Agno'"
        )
    )

    asyncio.run(
        # Using the agent to answer questions about the diary
        run_agent("What have I been building recently?")
    )
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U "agno[mcp]" openai
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Start Graphiti MCP">
    Start a Graphiti MCP server at `http://localhost:8000/sse`. See the [Graphiti MCP server instructions](https://github.com/getzep/graphiti/tree/main/mcp_server).
  </Step>

  <Step title="Run the example">
    Save the code above as `graphiti.py`, then run:

    ```bash theme={null}
    python graphiti.py
    ```
  </Step>
</Steps>

Full source: [cookbook/91\_tools/mcp/graphiti.py](https://github.com/agno-agi/agno/blob/main/cookbook/91_tools/mcp/graphiti.py)