# super-loop-mcp

> Use this tool when you need to optimize and refine self-improving AI agent loops, as it mines past sessions for effective workflows and continuously improves them. It solves problems of inefficiency and stagnation in AI development by providing a recursive loop of improvement. The super-loop-mcp takes in past session data and outputs refined workflows, making it ideal for use cases where autonomous AI improvement is crucial.

Canonical page: https://skillsregistry.net/skills/alexalexalex222-super-loop-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alexalexalex222-super-loop-mcp

## Description

A referee for self-improving AI agent loops that mines past sessions for working workflows, improves them, and never stops until you stop it.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/rcuugmcf3s)
- **Repository:** <https://github.com/alexalexalex222/super-loop-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": "alexalexalex222-super-loop-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexalexalex222-super-loop-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexalexalex222-super-loop-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