# Omi API Server

> Use this tool when you need to integrate Omi conversations and memories into your LLM workflows, enabling efficient management and access to contextual information. The Omi API Server provides a standardized MCP interface for reading, creating, and managing conversations and memories, with easy integration with clients like Claude and Cursor. It simplifies workflows by allowing seamless access to Omi data, enhancing contextual understanding and interaction.

Canonical page: https://skillsregistry.net/skills/leonskenidy-omi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/leonskenidy-omi-mcp

## Description

Provide seamless access to Omi conversations and memories through a standardized MCP interface. Enable users to read, create, and manage conversations and memories efficiently within their LLM workflows. Integrate easily with Claude, Cursor, and other MCP-compatible clients to enhance contextual understanding and interaction.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/leonskenidy/omi-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "leonskenidy-omi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leonskenidy-omi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leonskenidy-omi-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt