# io.github.meharajM/agent-loop-mcp

> Use this tool when you need to implement autonomous AI loops with robust memory management, self-healing capabilities, and efficient context compaction. It solves problems related to AI agent reliability, memory optimization, and contextual understanding. The tool takes in AI loop inputs and outputs compacted context and healed memory states, ideal for use in applications requiring resilient and adaptive AI agents.

Canonical page: https://skillsregistry.net/skills/io-github-meharajm-agent-loop-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-meharajm-agent-loop-mcp

## Description

Agentic memory manager. Install Skill: npx skills add meharajM/agent-loop-mcp

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.meharajM%2Fagent-loop-mcp)
- **Repository:** <https://github.com/meharajM/agent-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": "io-github-meharajm-agent-loop-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-meharajm-agent-loop-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-meharajm-agent-loop-mcp/pull`

---
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