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live-coding-music-mcp MCP Server

williamzujkowski/live-coding-music-mcp

Score: 87.9 → 0% Rank #529 MCP Server
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A Model Context Protocol (MCP) server that gives Claude direct control over Strudel.cc for AI-assisted music generation and live coding.

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Overview

williamzujkowski/live-coding-music-mcp is a TypeScript MCP server licensed under AGPL-3.0. A Model Context Protocol (MCP) server that gives Claude direct control over Strudel.cc for AI-assisted music generation and live coding.

Ranked #529 out of 24846 indexed tools.

In the top 3% of all indexed tools.

Ecosystem

TypeScript AGPL-3.0

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 244

244 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → recently updated

Issue Health 25% 97%

248/255 issues closed → responsive maintainer

Contributors 10% 6

6 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 34
Description Good
License AGPL-3.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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AgentRank score for williamzujkowski/live-coding-music-mcp
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Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

From the README

# live-coding-music-mcp

> 🎵 MCP server for AI-assisted live-coding music via [strudel.cc](https://strudel.cc/)
>
> **Unofficial fan project.** Not affiliated with, or endorsed by, the [Strudel project](https://codeberg.org/uzu/strudel). This adapter exists to make live-coding music accessible to beginners who want to try pattern-based music without learning the whole ecosystem first.
>
> **Status:** Beta | 88% statement coverage | Published to npm | Actively developed

<a href="https://glama.ai/mcp/servers/@williamzujkowski/live-coding-music-mcp">
  
</a>

A Model Context Protocol (MCP) server that drives [Strudel.cc](https://strudel.cc/) from Claude for AI-assisted live-coding music, pattern generation, and algorithmic composition.

**Current State: Beta.** The core workflow (init → compose → playback → analyze) works reliably with real audio output. `npm test` reports ~3060 passing tests, 88.99% statement coverage / 79.99% branch coverage. CI is hardened with OpenSSF Scorecard, SHA
Read full README on GitHub →

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