examples.mdx

title	Examples
icon	code
description	Example prompts and integrations with the Omi MCP server

Example Prompts

Once connected, try these prompts with your AI assistant:

``` "What do you know about my work projects?" "Find conversations where I discussed travel plans" "Search my memories for anything about fitness goals" "What did I talk about last Tuesday?" ``` ``` "Remember that I prefer morning meetings before 10am" "Update my memory about my favorite restaurant — it's now Sushi Nakazawa" "Delete the memory about my old phone number" "What are all my memories in the 'work' category?" ``` ``` "Summarize my conversations from this week" "Find the conversation where I brainstormed app ideas" "What topics come up most in my recent conversations?" "Show me the full transcript of my last meeting" ```

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Integration Examples

Build chains with Omi data Create AI agents using Omi Programmatic LLM pipelines

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Python SDK Example

This programmatic example uses the manual MCP-key fallback because the adapter receives static headers. Create an omi_mcp_... key as described in the Setup guide and load it from a secret store or environment variable in production.

import asyncio
import os

from langchain_mcp_adapters.client import MultiServerMCPClient

async def main():
    async with MultiServerMCPClient({
        "omi": {
            "url": "https://api.omi.me/v1/mcp/sse",
            "transport": "streamable_http",
            "headers": {"Authorization": f"Bearer {os.environ['OMI_MCP_API_KEY']}"},
        }
    }) as client:
        tools = client.get_tools()

        # Search memories
        result = await client.call_tool("omi", "search_memories", {
            "query": "morning routine",
            "limit": 5,
        })
        print(result)


if __name__ == "__main__":
    asyncio.run(main())