# recall-memory-mcp

> Use this tool when you need to enhance AI agent performance by leveraging stored experiences and lessons learned. It solves problems of knowledge retention, context overload, and repeated errors by storing and retrieving relevant procedural memories. The recall-memory-mcp tool takes in task contexts and agent experiences as inputs and outputs optimized memory recall to inform decision-making.

Canonical page: https://skillsregistry.net/skills/ashleyevz89-hue-recall-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ashleyevz89-hue-recall-memory-mcp

## Description

Enables AI agents to store, retrieve, and self-improve procedural memories (lessons learned) based on relevance to the current task, pruning unused memories to reduce context load and prevent repetition of past mistakes.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e5crgslata)
- **Repository:** <https://github.com/ashleyevz89-hue/recall-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": "ashleyevz89-hue-recall-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ashleyevz89-hue-recall-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ashleyevz89-hue-recall-memory-mcp/pull`

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