TouchDesigner MCP Server


A powerful Model Context Protocol (MCP) server that brings comprehensive TouchDesigner operator documentation and tutorials directly to your AI coding assistant! 🚀

I personally use it with VS Code/Codium and the Roo Code Extension alongside my favorite LLMs like Claude Opus and GPT-5. While the server should theoretically work with other applications like Docker or Claude Desktop, I haven't thoroughly tested those integrations yet.

The Story So Far: The catalyst for this project was simple — A few months ago I decided I wanted an AI tool that could develop visuals in TouchDesigner for me. I've been making some basic things in TD for awhile but it has one of the steepest learning curves of any creative software I've ever used. How nice would it be just to ask an LLM "Please make a 720p, animated in realtime, constantly evolving, reaction diffusion simulation in TouchDesigner." and then just have it spit one out? Super duper nice is the answer in my opinion.

Like every project I undertake where I know very little, I thought it would be pretty straight forward! LOL! When I started I had no idea just how much time and tokens I would end up sinking into this one. And I still have a ways to go
before I consider it complete with full integration into TouchDesigner itself and very little margin of error.

However as far as querying information about operators and their parameters goes — it works pretty darn well! 💪 The major challenge I face with getting any LLM to use this tool effectively for developing networks with real complexity is that the models tend to forget to use the MCP server and fall back on their outdated trained knowledge of much older TouchDesigner versions. If anyone has suggestions on how to overcome this particular wrinkle, I'd absolutely love to hear your feedback!

How to Use It (My Current Workflow) ⚡

Right now, I'm focused on ensuring the server returns useful and accurate Python API information. Here's my workflow: I describe the network I want to create—for example, a reaction diffusion visualization—and then ask the AI to write a Python script that generates the network inside TouchDesigner using the textport. Once that's complete, I get an 'exec' command that lets me copy and paste just one line into the textport, and voilà—a network is generated! ✨

My ultimate dream, however, is full integration directly into TouchDesigner itself. I experimented with a web server and WebSocket approach, which sort of worked, but since the LLMs I was testing weren't generating correct Python code and kept hallucinating information while not utilizing the MCP server to its fullest potential, I've temporarily shelved this part of the project. Once it's working reliably and generating solid visualizations or networks, then full integration will be the final step! 🎯

🚨 Major v2.6.0 Update - Critical Search Fix

The search functionality that was completely broken in previous versions is now fully operational!

Features

- 🎯 629 TouchDesigner Operators - Complete documentation including 90+ experimental POP operators
- 📚 14 Interactive Tutorials - Comprehensive TouchDesigner learning guides
- 🐍 69 Python API Classes - Full Python scripting documentation with working tools
- 🔍 FIXED Smart Search - Direct search implementation (previously broken indexer removed)
- 🔄 Workflow Suggestions - Get operator recommendations based on your current workflow
- 🚀 Zero Configuration - Works immediately after installation
- 📖 Full Parameter Documentation - Detailed information for 3,327+ operator parameters
- ⚡ Optimized Architecture - Removed web server overhead, pure MCP implementation

Installation

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``bash
npm install -g @bottobot/td-mcp
`

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`bash
npm install @bottobot/td-mcp
`

Quick Start

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1. Install the MCP server globally:
`bash
npm install -g @bottobot/td-mcp
`

2. Configure Claude/MCP in VS Code:
Add the server to your MCP settings configuration file:
`json
{
"td-mcp": {
"command": "npx",
"args": ["@bottobot/td-mcp"]
}
}
`

3. Start using TouchDesigner tools in your conversations with Claude!

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`bash


If installed globally

td-mcp

If installed locally

npx @bottobot/td-mcp
`

Available MCP Tools

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Get comprehensive details about a specific TouchDesigner operator.

Parameters:
- name (string): Operator name (e.g., 'Noise CHOP', 'Movie File In TOP')
- show_examples (boolean, optional): Show usage examples
- show_tips (boolean, optional): Show performance tips

Example: "Get detailed information about the Noise TOP operator"

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Search for operators using advanced contextual analysis and ranking.

Parameters:
- query (string): Search query
- category (string, optional): Filter by category (CHOP, DAT, SOP, TOP, MAT, COMP, POP)
- parameter_search (boolean, optional): Search within parameters
- show_details (boolean, optional): Show detailed results

Example: "Search for audio processing operators"

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List available TouchDesigner operators with optional category filtering.

Parameters:
- category (string, optional): Filter by category

Example: "List all TOP operators"

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Get workflow suggestions for what operators commonly follow the current operator.

Parameters:
- current_operator (string): Current operator name

Example: "What operators typically follow a Movie File In TOP?"

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Access detailed TouchDesigner tutorial content.

Parameters:
- name (string): Tutorial name
- include_content (boolean, optional): Include full content sections
- include_toc (boolean, optional): Include table of contents
- include_links (boolean, optional): Include related links

Example: "Get the 'Write a GLSL TOP' tutorial"

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List all available TouchDesigner tutorials.

Parameters:
- search (string, optional): Search term to filter tutorials
- limit (number, optional): Maximum results
- show_details (boolean, optional): Show tutorial summaries

Example: "List all available tutorials"

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Get documentation for a TouchDesigner Python class.

Parameters:
- class_name (string): Python class name (e.g., 'CHOP', 'Channel', 'App')
- show_members (boolean, optional): Show class members/properties
- show_methods (boolean, optional): Show class methods
- show_inherited (boolean, optional): Show inherited members and methods

Example: "Get Python documentation for the CHOP class"

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Search across TouchDesigner Python classes, methods, and members.

Parameters:
- query (string): Search query for Python API
- search_in (string, optional): Where to search: 'all', 'classes', 'methods', 'members'
- category (string, optional): Filter by category
- limit (number, optional): Maximum results

Example: "Search Python API for audio methods"

Operator Categories

The server provides comprehensive coverage across all TouchDesigner operator families:

| Category | Count | Description |
|----------|-------|-------------|
| CHOP | 166 | Channel Operators - Audio, control signals, and data streams |
| TOP | 139 | Texture Operators - 2D image and video processing |
| SOP | 112 | Surface Operators - 3D geometry creation and manipulation |
| DAT | 69 | Data Operators - Text, tables, and data handling |
| COMP | 40 | Component Operators - UI elements and containers |
| MAT | 13 | Material Operators - 3D rendering materials and shaders |
| POP | 90 | Point Operators - Particle systems (experimental) |

Available Tutorials

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- Anatomy of a CHOP - Understanding channel operator internals
- Build a List COMP - Create dynamic UI lists
- Introduction to Python Tutorial - Essential guide for TouchDesigner Python scripting

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- Write a GLSL TOP - Create custom GPU-accelerated image effects
- Write a GLSL Material - Custom GLSL materials for rendering
- Write a C++ CHOP - Develop native audio/data processing operators
- Write a C++ TOP - Build custom texture operators in C++
- Write a C++ Plugin - Advanced C++ integration for TouchDesigner plugins
- Write a CUDA DLL - GPU programming with CUDA for TouchDesigner

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- Write a Shared Memory CHOP - Inter-process data communication
- Write a Shared Memory TOP - Share textures between processes

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- Video Streaming User Guide - Complete guide for video streaming workflows
- TouchDesigner Video Server Specification Guide - Professional video server setup
- TDBitwig User Guide - Integration with Bitwig Studio DAW

Python API Documentation

The server includes comprehensive Python API documentation with 69 classes covering:

- Core operator classes (CHOP, TOP, SOP, DAT, MAT, COMP)
- Utility classes (Channel, Cell, Page, etc.)
- System classes (App, Project, Monitor, etc.)
- UI classes (Panel, Widget, etc.)
- Advanced features (WebRTC, NDI, MIDI, OSC, etc.)

PM2 Process Management

For production deployments, you can use PM2 to manage the MCP server:

`bash


Install PM2 globally

npm install -g pm2

Start the server with PM2

pm2 start td-mcp

View server status

pm2 status td-mcp

View logs

pm2 logs td-mcp

Restart server

pm2 restart td-mcp

Stop server

pm2 stop td-mcp
`

Architecture

The TD-MCP server is built with:
- Pure MCP Implementation - Clean, focused server following MCP standards (web server removed in v2.6.0)
- Direct Search Algorithm - Fast, reliable search without dependency on broken indexers
- OperatorDataManager - Centralized data management system (renamed from WikiSystem)
- Local Data Processing - All operator data is processed and served locally
- Modular Tool System - Each MCP tool is independently maintained

Project Structure

`
td-mcp/
├── index.js # Main MCP server (web server removed)
├── tools/ # MCP tool implementations
│ ├── get_operator.js
│ ├── search_operators.js # Fixed with direct search
│ ├── suggest_workflow.js
│ ├── list_operators.js
│ ├── get_tutorial.js
│ ├── list_tutorials.js
│ ├── get_python_api.js # Python API documentation
│ └── search_python_api.js # Python API search
├── wiki/ # Documentation system
│ ├── data/ # Processed operator & tutorial data
│ └── operator-data-manager.js # Core documentation engine (renamed)
└── data/ # Configuration & patterns
└── patterns.json # Workflow patterns
`

Requirements

- Node.js 18.0 or higher
- npm or yarn package manager
- VS Code/Codium with MCP-compatible extension (e.g., Claude Dev)

Development

To contribute or modify the server:

`bash


Clone the repository

git clone https://github.com/bottobot/touchdesigner-mcp-server.git

Install dependencies

cd touchdesigner-mcp-server
npm install

Run the server locally

node index.js
`

Support

- Issues: GitHub Issues
- Documentation: TouchDesigner Official Docs
- NPM Package: @bottobot/td-mcp

License

MIT License - See LICENSE file for details.

Acknowledgments

- TouchDesigner by Derivative
- Model Context Protocol by Anthropic
- Built for the TouchDesigner community 🎨

---

Current Version: 2.6.1
Operators: 629
Tutorials: 14
Python API Classes: 69
Last Updated: January 2025

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#### 🐍 Critical Python API Fixes
- FIXED Python API Tools - Both get_python_api and search_python_api` tools now work correctly!
- Fixed Response Format - Python API tools now return proper MCP content format instead of raw objects
- Enhanced Documentation Display - Python classes now show formatted documentation with methods, members, and parameters
- Working Search Functionality - Python API search now properly filters by classes, methods, and members

#### 📊 Corrected Documentation Stats
- 69 Python API Classes - Accurate count of available Python classes (previous 553 count was incorrect)
- 1,513 Methods - Comprehensive method documentation across all Python classes
- Enhanced Class Details - Full parameter signatures, return types, and descriptions

#### 🔧 Technical Details
- Fixed MCP content wrapper format in both Python API tools
- Improved error handling and user-friendly error messages
- Added proper markdown formatting for class documentation
- Enhanced search result categorization and relevance scoring

This update fixes the Python API tools that were returning no response in v2.6.0. Users can now successfully query TouchDesigner Python documentation.

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#### v2.6.0 (Major Fix Release)
- FIXED Search Functionality - The search_operators tool that was completely broken is now working!
- Removed Broken Indexer - Eliminated the non-functional search indexer that was causing search failures
- Direct Search Implementation - New reliable search algorithm that searches operator data directly
- Renamed WikiSystem to OperatorDataManager - Clearer, more descriptive naming throughout codebase
- Removed Web Server - Eliminated unnecessary web server component for cleaner architecture
- Pure MCP Server - Now operates as a focused MCP server without web dependencies

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#### v2.5.0
- Added Python API documentation tools
- Improved operator categorization
- Enhanced workflow suggestions

#### v2.4.0
- 🎓 Doubled Tutorial Content - Added 7 new comprehensive tutorials
- 📦 24% Size Reduction - Optimized server from 177MB to 135MB
- 🛠️ New Tutorial Integration Tool - Automated script for adding future tutorials
- 🧹 Clean Architecture - Removed redundant files and experimental parsers