# io.github.ExpertVagabond/raycast

> Use this tool when you need to automate workflow tasks on an MCP server, as it provides a suite of 9 tools to streamline processes and increase efficiency. It solves problems related to manual task management, allowing for seamless automation and reduced errors. With a user-friendly interface, it accepts input configurations and outputs automated workflows, making it ideal for use cases requiring repetitive task automation.

Canonical page: https://skillsregistry.net/skills/io-github-expertvagabond-raycast  
JSON: https://api.skillsregistry.net/v1/skills/io-github-expertvagabond-raycast

## Description

Raycast workflow automation MCP server with 9 tools

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-24

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.ExpertVagabond%2Fraycast)
- **Repository:** <https://github.com/ExpertVagabond/raycast-mcp-server.git>

## 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": "io-github-expertvagabond-raycast"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-expertvagabond-raycast` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-expertvagabond-raycast/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
