# mem9 MCP Server

> Use this tool when you need to manage and retrieve memories for AI assistants across multiple platforms, solving problems of memory storage and semantic search. It takes in memory data as input and provides stored, retrieved, updated, or deleted memories as output. Ideal for use cases requiring efficient memory management, such as conversational AI and knowledge retention applications.

Canonical page: https://skillsregistry.net/skills/you06-mem9-mcp  
JSON: https://api.skillsregistry.net/v1/skills/you06-mem9-mcp

## Description

Enables AI assistants to manage memories via the mem9 memory service, supporting memory storage, semantic search, retrieval, update, and deletion across multiple platforms.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/woh7pev3yb)
- **Repository:** <https://github.com/you06/mem9-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": "you06-mem9-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/you06-mem9-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/you06-mem9-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