# Relay

> Use this tool when you need to introduce human oversight into AI-driven coding workflows, enabling agents to pause and request feedback before executing actions. Relay solves problems of uncontrolled AI autonomy, providing a checkpoint for user validation and error correction. It takes AI-generated code as input and outputs validated actions, ideal for use cases requiring high accuracy and reliability.

Canonical page: https://skillsregistry.net/skills/andeya-ide-relay-mcp  
JSON: https://api.skillsregistry.net/v1/skills/andeya-ide-relay-mcp

## Description

Adds a human-in-the-loop checkpoint to MCP-capable AI coding agents, enabling them to pause and request user feedback before executing actions.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a1e42vcrad)
- **Repository:** <https://github.com/andeya/ide-relay-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": "andeya-ide-relay-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andeya-ide-relay-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andeya-ide-relay-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