# Keyboard Shortcuts MCP Server

> Use this tool when you need to quickly find keyboard shortcuts for various operating systems, desktop environments, and applications using natural language queries. It solves problems of inefficient searching and memorization of shortcuts, providing instant access to multi-platform shortcuts for system functions, desktop apps, and CLI tools. The tool takes natural language input and outputs relevant keyboard shortcuts, making it ideal for users seeking to boost productivity across different platforms and applications.

Canonical page: https://skillsregistry.net/skills/jenova-marie-keyboard-shortcuts-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jenova-marie-keyboard-shortcuts-mcp

## Description

Enables intelligent querying of keyboard shortcuts for various operating systems, desktop environments, and applications using natural language. Supports multi-platform shortcuts including system functions, desktop apps like Firefox and VS Code, and CLI tools like tmux and vim.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-23

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/igs7pd891k)
- **Repository:** <https://github.com/jenova-marie/keyboard-shortcuts-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": "jenova-marie-keyboard-shortcuts-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jenova-marie-keyboard-shortcuts-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jenova-marie-keyboard-shortcuts-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
