1. Conduid
  2. Content
  3. Pd MCP Server
MCP server · Content

Pd MCP Server

Build and drive Pure Data patches from Claude — FUDI-over-TCP MCP server + skill (synthesis, audio routing, py4pd).

Unclaimed content
39Low

Scored 11 days ago · breakdown

About Pd MCP Server

Pd MCP Server is an MCP server in the Content category: build and drive Pure Data patches from Claude — FUDI-over-TCP MCP server + skill (synthesis, audio routing, py4pd).

The repository has 9 stars and 0 forks.

Install

From source
git clone https://github.com/nikmaniatis/Pd-MCP-Server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Pd MCP Server

Powered by Claude · Grounded in docs

I know everything about Pd MCP Server. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

Pure Data MCP Server

This project provides integration between Claude AI and Pure Data through the Model Context Protocol (MCP). With this integration, Claude can dynamically create, modify, and control Pure Data patches through natural language.

Known Issues

The example patch (example patch.pd) is not working correctly.

Overview

The system consists of three core components:

  1. MCP Server (mcp_server.py): Implements the Model Context Protocol interface for Claude
  2. OSC Daemon (osc_daemon.py): Handles OSC communication with Pure Data
  3. Pure Data Patch (absolute_final_solution.pd): A dynamic patching solution that receives OSC messages

Features

  • Dynamic Object Creation: Create any Pure Data object on demand through Claude
  • Connection Management: Connect objects together to build complex signal flows
  • DSP Control: Start and stop audio processing remotely
  • Parameter Control: Modify parameters of objects in real-time
  • Global Object Tracking: Reliable index-based connection system
  • Error Handling: Robust error detection and reporting
  • Debugging Tools: Comprehensive logging system

Recent Updates

Installation

Prerequisites

  • Python 3.7+
  • Pure Data (vanilla) 0.51+
  • Required Python packages:
    • python-osc
    • fastmcp
    • jsonschema
  • uv package manager

Install uv

On macOS and Linux:

curl -LsSf https://astral.sh/uv/install.sh | sh

On Windows (PowerShell):

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Learn more: astral-sh/uv


🛠️ Usage

Clone the repository

git clone https://github.com/nikmaniatis/Pd-MCP-Server.git

Integration with Claude Desktop

  1. Open:

Claude > Settings > Developer > Edit Config > claude_desktop_config.json

  1. Add the following block:
{
    "mcpServers": {
      "Pure Data MCP Server": {
        "command": "uv",
        "args": [
          "--directory",
          "PATH_TO_PD_MCP_SERVER",
          "run",
          "main.py"
        ],
        "env": {
          "PD_OSC_HOST": "127.0.0.1",
          "PD_OSC_PORT": "5000",
          "PD_FEEDBACK_PORT": "5001"
        }
      }
    }
  }

Note: If the uv command is not found, run which uv (Unix) or Get-Command uv (PowerShell) and use the full path in the "command" field.


Architecture

Message Flow

  1. Claude executes MCP tools based on user requests
  2. MCP Server processes the tool calls
  3. OSC messages are formatted and sent to Pure Data
  4. Pure Data executes the commands via the dynamic patch
  5. Feedback (if any) is returned via OSC callbacks

Troubleshooting

Common Issues

  1. Object Creation Fails: Ensure Pure Data is running and the patch is open
  2. Connection Issues: Verify that object IDs match exactly what was returned from create_object
  3. Port Conflicts: Check if port 5000 is already in use
  4. Message Format Errors: Ensure message formats match the expected format in the Pure Data patch
  5. Lost Objects: If object tracking gets confused, try restarting both the MCP server and Pure Data

JSON Schema

The pd-schema.json provides a comprehensive data model for Pure Data patches, supporting validation and serialization of patches. While not directly used in the current MCP tools, it serves as a reference for future development and potential integration with patch serialization/deserialization features.

Next Steps

  1. Enhanced Error Reporting: Improve feedback from Pure Data for better error messages
  2. Visualization Tools: Add tools to visualize the current patch state
  3. Object Library Integration: Support loading external libraries and abstractions
  4. Patch Persistence: Implement better state management for patches
  5. Audio File Support: Add tools for working with audio files and samples
  6. MIDI Integration: Add MIDI input/output capabilities
  7. GUI Object Support: Add support for GUI objects like sliders and number boxes
  8. Collaborative Features: Support multiple simultaneous connections
  9. Documentation Generator: Create automatic documentation from the JSON schema

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Pd MCP Server

How do I install Pd MCP Server?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Pd MCP Server safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Pd MCP Server still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.