Skip to main content

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_server_omi-0.1.1.tar.gz (8.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_server_omi-0.1.1-py3-none-any.whl (7.3 kB view details)

Uploaded Python 3

File details

Details for the file mcp_server_omi-0.1.1.tar.gz.

File metadata

  • Download URL: mcp_server_omi-0.1.1.tar.gz
  • Upload date:
  • Size: 8.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.6.3

File hashes

Hashes for mcp_server_omi-0.1.1.tar.gz
Algorithm Hash digest
SHA256 c678ce9278cd42e197a0ba8fcab74c8101d0669e201ef615030b0f6d9658427d
MD5 108554ecfe93cd86fa262ca51eec55b3
BLAKE2b-256 85b94e98fc65f8be1fd333bbaeeca58c7714658f1a55bbbdb5efa4b05c61d949

See more details on using hashes here.

File details

Details for the file mcp_server_omi-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for mcp_server_omi-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 53d518340a1f9ef4e544a2fe616a21c6ec6715ef0259ebcf0b7c4fc317747e2a
MD5 828a2cfc6991f0311bece9b01f293d1c
BLAKE2b-256 50c12f04c1ef265dd39cdcdba7ff1a49457c2691208b2320d797f553169197af

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page