Skip to main content
Glama
enesjakozh
Ritesh2351235

Omi Memories MCP Server

by Ritesh2351235
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Local

Omi Memories MCP Server

This is a Model Context Protocol (MCP) server that provides access to Omi memories for a specific user through a tool interface.

Features

  • Tool to fetch all memories for the specified user ID from the OMI App

Related MCP server: MCP-Mem0

Setup

  1. Install dependencies:

npm install

  1. Configure your user ID:

    • Open src/server.ts

    • Update the SPECIFIC_USER_ID constant with your user ID from the Account section of the Omira App

  2. Build the TypeScript code:

npm run build

  1. Start the server:

npm start

Available Tools

fetch-memories

Fetches all memories for the configured user ID.

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";

const transport = new StdioClientTransport({
  command: "node",
  args: ["dist/server.js"]
});

const client = new Client(
  {
    name: "example-client",
    version: "1.0.0"
  },
  {
    capabilities: {
      tools: {}
    }
  }
);

await client.connect(transport);

// Fetch memories using the tool
const result = await client.callTool({
  name: "fetch-memories",
  arguments: {}
});
console.log(result.content[0].text);

Configuration

The server expects:

  1. The Express API to be running at http://localhost:3000

  2. The user ID should configured : Update the SPECIFIC_USER_ID constant in src/server.ts to your user ID which you could get from the Account section of the Omira App.

Claude Desktop Integration

To integrate with Claude Desktop, update your Claude Desktop configuration (claude_desktop_config.json) to include:

{
  "mcpServers": {
    "omi-mcp": {
      "command": "node",
      "args": [
        "/path/to/your/mcp-server/dist/server.js"
      ],
      "env": {
        "NODE_ENV": "development"
      }
    }
  }
}

Cursor IDE Integration

To integrate with Cursor IDE:

  1. Open Cursor IDE settings

  2. Navigate to "AI & Copilot" settings

  3. Under "Model Context Protocol", add a new MCP server with these settings:

{
  "name": "Omi Memories",
  "command": "node",
  "args": [
    "/path/to/your/mcp-server/dist/server.js"
  ],
  "cwd": "/path/to/your/mcp-server",
  "env": {
    "NODE_ENV": "development"
  }
}

Replace /path/to/your/mcp-server with the actual path to your MCP server installation directory.

Available Tools

1 tool
fetch-memoriesD
ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

D1/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

TDQS

D1.8/5.0
Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'fetch-memories' stands alone with a distinct purpose, making disambiguation trivial.

Naming Consistency5/5

The single tool name 'fetch-memories' follows a clear verb_noun pattern. Since there is only one tool, consistency is inherently perfect with no deviations or mixed conventions to evaluate.

Tool Count2/5

A single tool is too few for a server named 'Omi Memories MCP Server', which suggests a domain involving memory storage or retrieval. This minimal set likely leaves significant functionality uncovered, making it inappropriate for the implied scope.

Completeness2/5

Inferred from the server name and tool name, the domain involves memories, but with only a fetch operation, there are obvious gaps such as creating, updating, deleting, or searching memories. This severely incomplete surface will cause agent failures in handling memory lifecycles.

Maintenance

ActivityInactive
ResponsivenessSyncing

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Connectors

Related MCP Servers

Appeared in Searches

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Ritesh2351235/Omi-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server