No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ahujasid · MCP Server · ★ 3.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ableton-mcp safe to install? View the security audit →
Ableton MCP Connect Ableton Live to Claude AI Prompt-assisted music production, end-to-end track creation, and Live session and arrangement manipulation — driven by AI. Setup Video · Discord · Issues Quickstart Three steps: install , point your MCP client at the server, install the Ableton Remote Script. 1. Install uv Otherwise, install from uv's official website. Warning: Do not proceed before installing uv. 2. Add the MCP server to your client Claude Desktop — Settings → Developer → Edit Config Cursor — Settings → MCP Paste this as a command: Warning: Only run one instance of
| Stars | 3,083 |
| Forks | 415 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 76.6528426257728/100 |
| Open Issues | 34 |
| Last Updated | 2026-09-22 |
| Created | 2025-03-19 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~16k |
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ableton-mcp is Control Ableton Live with any LLM: create tracks, arrange clips & compose music via MCP. It is categorized as a MCP Server with 3.1k GitHub stars.
ableton-mcp is primarily written in Python. It covers topics such as ableton, ai, claude.
You can find installation instructions and usage details in the ableton-mcp GitHub repository at github.com/ahujasid/ableton-mcp. The project has 3.1k stars and 415 forks, indicating an active community.
ableton-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ableton-mcp on Agent Skills Hub include ableton-mcp, mcp-agent, cursor-talk-to-figma-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: