# mem0_mcp_server

> Use this tool when you need to manage memories for AI agents, providing a centralized server for adding, searching, updating, and deleting memories via the Mem0 API. It solves problems related to memory storage and retrieval, enabling efficient data management for AI applications. The mem0_mcp_server takes API requests as input and returns memory data as output, ideal for use in AI systems requiring dynamic memory management.

Canonical page: https://skillsregistry.net/skills/mocha-s-mem0-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mocha-s-mem0-mcp-server

## Description

An MCP server that provides memory management tools for AI agents, enabling adding, searching, updating, and deleting memories via the Mem0 API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ow5wwnrjnj)
- **Repository:** <https://github.com/Mocha-s/mem0_mcp_server>

## 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": "mocha-s-mem0-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mocha-s-mem0-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mocha-s-mem0-mcp-server/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