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

Configuration

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

Using uvx

When using uv no specific installation is needed.

We will use uvx to directly run mcp-server-omi.

| If having issues instead of "command": "uvx", put your whole package path (which uvx), then "command": "$path".

"mcpServers": {
  "omi": {
    "command": "uvx",
    "args": ["mcp-server-omi"]
  }
}
Using docker

Install docker, https://orbstack.dev/ is great.

"mcpServers": {
  "omi": {
    "command": "docker",
    "args": ["run", "--rm", "-i", "josancamon19/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-server-omi.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-0.1.4.tar.gz (15.2 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-0.1.4-py3-none-any.whl (7.5 kB view details)

Uploaded Python 3

File details

Details for the file mcp_server_omi-0.1.4.tar.gz.

File metadata

  • Download URL: mcp_server_omi-0.1.4.tar.gz
  • Upload date:
  • Size: 15.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.6.3

File hashes

Hashes for mcp_server_omi-0.1.4.tar.gz
Algorithm Hash digest
SHA256 e18090b0ac820d48e30e020155810e30dad2c9e024b20c224de185c3bec46ae3
MD5 dc65269c2a1bb3d5ca8c43356a57b04c
BLAKE2b-256 38c99826493d009a3c1625251aeb201e68f854a3b30f90b4d86342f4a7106e36

See more details on using hashes here.

File details

Details for the file mcp_server_omi-0.1.4-py3-none-any.whl.

File metadata

File hashes

Hashes for mcp_server_omi-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 631222079e90ecf3ab197b505a9db01e73f5260c373773ac5eee1b79bb3a23d0
MD5 b9e41358fd0a1aa9297ece693d2e40e8
BLAKE2b-256 b3a2a0aef523ddfde455d14822f8328c65bc23c2a0f55a426f62906173af58a0

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