# approvals-mcp

> approvals-mcp — larioscow-approvals-mcp. Use this tool when you need to manage and automate approval workflows for AI agents, solving problems of manual review and validation. It integrates with git, allowing for seamless approval gates and version control. The approvals-mcp tool takes in AI agent requests and outputs approved or rejected decisions, streamlining the development and deployment process.

Canonical page: https://skillsregistry.net/skills/larioscow-approvals-mcp  
JSON: https://api.skillsregistry.net/v1/skills/larioscow-approvals-mcp

## Description

An MCP approval gate for AI agents

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/larioscow/approvals-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": "larioscow-approvals-mcp"
    }
  }
}
```

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