# loopquest-mcp

> Use this tool when you need to integrate human review into your content submission workflow, enabling MCP agents to submit content for verification and receiving asynchronous feedback via LoopQuest. It solves problems of content validation and quality control by leveraging human judgment. Ideal for use cases requiring accurate content assessment, this tool accepts content submissions as input and returns verdicts as output.

Canonical page: https://skillsregistry.net/skills/tomphillipslabs-loopquest-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tomphillipslabs-loopquest-mcp

## Description

Enables MCP agents to submit content for human review via LoopQuest, returning verdicts asynchronously.

## 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:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lce5nvjhus)
- **Repository:** <https://github.com/TomPhillipsLabs/loopquest-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": "tomphillipslabs-loopquest-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tomphillipslabs-loopquest-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tomphillipslabs-loopquest-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