# Memory MCP

> Use this tool when you need to retain knowledge about a codebase and enable AI coding agents to learn from experience. It solves problems related to codebase familiarity, architecture understanding, and context retention, allowing agents to make more informed decisions. The Memory MCP takes in observations and codebase data as input and outputs evolved knowledge that can be used to improve coding tasks and decision-making.

Canonical page: https://skillsregistry.net/skills/etiennebbeaulac-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/etiennebbeaulac-memory-mcp

## Description

Gives AI coding agents persistent, evolving knowledge about a codebase, enabling them to store and retrieve observations about architecture, conventions, gotchas, and recent work context.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uzqt1k8p6s)
- **Repository:** <https://github.com/EtienneBBeaulac/memory-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": "etiennebbeaulac-memory-mcp"
    }
  }
}
```

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