# Keyboardia MCP

> Keyboardia MCP — adewale-keyboardia. Use this tool when you need to collaborate on music creation or edit live music sessions with multiple agents. The Keyboardia MCP enables co-editing, remixing, and publishing of MIDI files, while also analyzing musical structure, making it ideal for music production and composition tasks. It accepts MIDI inputs and produces editable music sequences as output.

Canonical page: https://skillsregistry.net/skills/adewale-keyboardia  
JSON: https://api.skillsregistry.net/v1/skills/adewale-keyboardia

## Description

Enables agents to co-edit live music sessions, create, remix, publish, export MIDI, and analyze musical structure in the Keyboardia collaborative step sequencer.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/toeieluswi)
- **Repository:** <https://github.com/adewale/keyboardia>

## 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": "adewale-keyboardia"
    }
  }
}
```

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