# Memory MCP

> Use this tool when you need to retain context and continuity in AI model and coding agent projects. Memory MCP solves the problem of lost work and context switching by storing project architecture, decisions, and session state, allowing compatible clients to resume work seamlessly. It accepts project data as input and outputs a persistent memory record, ideal for use cases where multiple sessions or collaborations are involved.

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

## Description

Persistent project memory for AI models and coding agents. Memory MCP stores architecture, decisions, tasks, warnings, preferences, and session state in Supabase so OpenCode, Claude Code CLI, Qwen Code, Codex, or any MCP-compatible client can resume work without losing context.

## Trust

- **Trust score (0–1):** 0.43
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k9mtcc812z)
- **Repository:** <https://github.com/dannymaaz/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": "dannymaaz-memory-mcp"
    }
  }
}
```

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