# mem0-mcp

> Use this tool when you need to retain context for AI agents, as it provides a server for the MCP protocol that exposes the Mem0 AsyncMemory API. This enables agents to store and retrieve contextual information, solving problems related to memory and data persistence. It accepts input requests from AI agents and outputs stored data, ideal for use cases requiring contextual awareness and continuity.

Canonical page: https://skillsregistry.net/skills/olk-mem0-mcp  
JSON: https://api.skillsregistry.net/v1/skills/olk-mem0-mcp

## Description

MCP protocol server exposing Mem0 AsyncMemory API for AI agent context retention

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-26

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kkveq9tybs)
- **Repository:** <https://github.com/olk/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": "olk-mem0-mcp"
    }
  }
}
```

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