Introduction

Connect AI assistants to your Omi data using the Model Context Protocol

What is MCP?

The Model Context Protocol (MCP) is an open standard that lets AI assistants like Claude, Cursor, and other tools interact with external data sources. Omi’s MCP server gives these assistants direct access to your memories and conversations.

Search & Retrieve

Semantic search across your memories and conversations

Manage Memories

Create, edit, and delete memories

Access Conversations

Browse and search full conversation transcripts

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How It Works

Your AI assistant connects to the Omi MCP server, discovers available tools, and calls them as needed during your conversations. All data stays within your Omi account — the MCP server authenticates via your personal API key.

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Available Tools

Tool	Description
get_memories	List memories with optional category filtering
search_memories	Semantic search across memories
create_memory	Create a new memory
edit_memory	Edit an existing memory
delete_memory	Delete a memory
get_conversations	List conversations with date/category filters
search_conversations	Semantic search across conversations
get_conversation_by_id	Get full conversation with transcript

See the Tools Reference for full parameter documentation.

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Comparison with Developer API

Feature	MCP	Developer API
Purpose	AI assistant integration	Direct HTTP API access
Access	Read/write with AI context	Read & write user data
Search	Semantic search built-in	Filter-based queries
Use Case	Claude Desktop, Cursor, AI agents	Custom apps, dashboards
Best For	AI-powered workflows	Batch operations, integrations

For programmatic access without AI assistants, use the Developer API instead.