# DraftRelay

> DraftRelay — raashy-draftrelay. Use this tool when you need to streamline the review and deployment of AI-generated content, such as emails, summaries, or updates. DraftRelay solves the problem of efficiently managing and sharing polished artifacts between AI agents and human reviewers, supporting both local and hosted modes. It accepts AI-generated content as input and outputs formatted, review-ready artifacts for human copying and deployment.

Canonical page: https://skillsregistry.net/skills/raashy-draftrelay  
JSON: https://api.skillsregistry.net/v1/skills/raashy-draftrelay

## Description

A delivery outbox MCP server that enables AI agents to save polished artifacts like emails, summaries, or updates for human review and copying, supporting local and hosted modes.

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lptnxa4kfv)
- **Repository:** <https://github.com/raashy/draftrelay>

## 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": "raashy-draftrelay"
    }
  }
}
```

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