# Omi Memories MCP Server

> Use this tool when you need to access and manage Omi memories from a specific user account, solving issues of memory retrieval and organization. It provides a tool interface to input user account credentials and outputs relevant memories, enabling efficient memory access and utilization. Ideal for use cases requiring secure and controlled access to user memories, such as data analysis or memory-based applications.

Canonical page: https://skillsregistry.net/skills/ritesh2351235-omi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ritesh2351235-omi-mcp

## Description

A Model Context Protocol server that enables access to Omi memories from a specific user account through a tool interface.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r2pms25vc2)
- **Repository:** <https://github.com/Ritesh2351235/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": "ritesh2351235-omi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ritesh2351235-omi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ritesh2351235-omi-mcp/pull`

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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