# memento-mcp

> Use this tool when you need to retain project context and knowledge for AI coding agents, reducing redundant learning and improving efficiency. Memento-mcp solves the problem of ephemeral project memory by storing facts, decisions, and patterns locally, with optional cloud embeddings. It integrates with various MCP clients, including Claude Code and Cursor, and runs on Node.js 18+ with SQLite storage.

Canonical page: https://skillsregistry.net/skills/lfrmonteiro99-memento-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lfrmonteiro99-memento-mcp

## Description

Memento is a local-first MCP server that gives AI coding agents
durable project memory — facts, decisions, patterns, and architecture
notes — so they stop re-learning the same context every session.
Runs locally on Node.js 18+ with SQLite storage and optional cloud
embeddings; works with Claude Code, Cursor, Windsurf, and any MCP client.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v7d45i78yo)
- **Repository:** <https://github.com/lfrmonteiro99/memento-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": "lfrmonteiro99-memento-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lfrmonteiro99-memento-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lfrmonteiro99-memento-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