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Model Context Protocol Server for Omi AI

Project description

mcp-server-omi: A OMI MCP server

Overview

A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.

Tools

  1. get_memories

    • Retrieve a list of user memories
    • Inputs:
      • uid (string): The user's unique identifier
      • limit (number, optional): Maximum number of memories to retrieve (default: 100)
      • categories (array of MemoryFilterOptions, optional): Categories of memories to retrieve (default: [])
    • Returns: JSON object containing list of memories
  2. create_memory

    • Create a new memory
    • Inputs:
      • uid (string): The user's unique identifier
      • content (string): Content of the memory
      • category (MemoryFilterOptions): Category of the memory
    • Returns: Created memory object
  3. delete_memory

    • Delete a memory by ID
    • Inputs:
      • uid (string): The user's unique identifier
      • memory_id (string): ID of the memory to delete
    • Returns: Status of the operation
  4. edit_memory

    • Edit a memory's content
    • Inputs:
      • uid (string): The user's unique identifier
      • memory_id (string): ID of the memory to edit
      • content (string): New content for the memory
    • Returns: Status of the operation
  5. get_conversations

    • Retrieve a list of user conversations
    • Inputs:
      • uid (string): The user's unique identifier
      • include_discarded (boolean, optional): Whether to include discarded conversations (default: false)
      • limit (number, optional): Maximum number of conversations to retrieve (default: 25)
    • Returns: List of conversation objects containing transcripts, timestamps, geolocation and structured summaries

Installation

Using uv

When using uv no specific installation is needed. We will use uvx to directly run mcp-server-omi.

Configuration

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

Using uvx
"mcpServers": {
  "omi": {
    "command": "uvx",
    "args": ["mcp-server-omi"]
  }
}
Using docker
  • Note: replace '/Users/username' with the a path that you want to be accessible by this tool
"mcpServers": {
  "omi": {
    "command": "docker",
    "args": ["run", "--rm", "-i", "mcp/omi"]
  }
}
Using pip installation
"mcpServers": {
  "git": {
    "command": "python",
    "args": ["-m", "mcp_server_omi"]
  }
}

Debugging

You can use the MCP inspector to debug the server. For uvx installations:

npx @modelcontextprotocol/inspector uvx mcp-server-omi

Or if you've installed the package in a specific directory or are developing on it:

cd path/to/servers/src/omi
npx @modelcontextprotocol/inspector uv run mcp-server-omi

Running tail -n 20 -f ~/Library/Logs/Claude/mcp*.log will show the logs from the server and may help you debug any issues.

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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