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tiianhk/MaxMSP-MCP-Server

by Various

MCP (Model Context Protocol) Server for Max (Max/MSP/Jitter)

T

MCP

tiianhk/MaxMSP-MCP-Server

Added 1 June 2026

Overview

An MCP server that connects AI assistants to Max/MSP/Jitter, enabling them to create and modify Max patches programmatically. It translates model requests into Max patcher operations via the Model Context Protocol.

Best for

Best for
Max/MSP/Jitter users who want to leverage AI for patch creation and manipulation

Use cases

  • Generating Max patches from natural language descriptions
  • Automating repetitive patcher editing tasks
  • Integrating AI assistants into Max-based creative workflows

How to use

Install

python install.py --client claude

Tools exposed

  • uv
  • npm

Tested with

Claude, Cursor

Notes

An MCP server that connects AI assistants to Max/MSP/Jitter, enabling them to create and modify Max patches programmatically. It translates model requests into Max patcher operations via the Model Context Protocol.

228 stars on GitHub. Last updated 2026-05-12. Licensed MIT.

Use cases

  • Generating Max patches from natural language descriptions
  • Automating repetitive patcher editing tasks
  • Integrating AI assistants into Max-based creative workflows

Pros

  • Directly bridges AI models with Max’s visual patching environment
  • Open source with 228 stars indicating community interest
  • Written in Max itself, aligning with the tool’s native ecosystem

Cons

  • Requires Max/MSP/Jitter license (not free software)
  • Limited to Max’s patching paradigm, not general-purpose
  • Dependent on MCP adoption and model support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Directly bridges AI models with Max's visual patching environment
  • Open source with 228 stars indicating community interest
  • Written in Max itself, aligning with the tool's native ecosystem

Cons

  • Requires Max/MSP/Jitter license (not free software)
  • Limited to Max's patching paradigm, not general-purpose
  • Dependent on MCP adoption and model support
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