# Memory Engine MCP

> Use this tool when you need to enhance AI assistants with a dynamic memory system that stores and retrieves knowledge efficiently. It solves problems related to knowledge retention, recall, and learning, enabling AI agents to make more informed decisions. With inputs of new information and outputs of relevant knowledge graphs, use the Memory Engine MCP in applications requiring adaptive and intelligent information management.

Canonical page: https://skillsregistry.net/skills/simoneb79-memory-engine-mcp  
JSON: https://api.skillsregistry.net/v1/skills/simoneb79-memory-engine-mcp

## Description

Enables AI assistants to have a living memory with atomic knowledge storage, multi-factor recall, organic decay, automatic learning, and graph traversal via MCP.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bia8emzss4)
- **Repository:** <https://github.com/SimoneB79/memory-engine-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": "simoneb79-memory-engine-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/simoneb79-memory-engine-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/simoneb79-memory-engine-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