# dev.looptool/looptool

> Use this tool when you need to collect feedback on your MCP server, as it automatically gathers input to help improve server performance and user experience. It solves problems related to manual feedback collection and server optimization, providing valuable insights through its automated feedback collection process. With input from your MCP server and output of compiled feedback, use looptool to streamline server evaluation and enhancement.

Canonical page: https://skillsregistry.net/skills/dev-looptool-looptool  
JSON: https://api.skillsregistry.net/v1/skills/dev-looptool-looptool

## Description

An MCP server that automatically collects feedback on your MCP server.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/dev.looptool%2Flooptool)

## Use it

MCP endpoint published by the skill: `https://www.api.looptool.dev/mcp`

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": "dev-looptool-looptool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dev-looptool-looptool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dev-looptool-looptool/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