touchdesigner-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@touchdesigner-mcpBuild an audio-reactive visual with feedback in /project1 and capture the TOP."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
TouchDesigner MCP
TouchDesigner MCP lets Codex inspect, build, wire, tune, sample, and visually verify a running TouchDesigner project. It is designed for generative visuals, audio-reactive systems, GLSL iteration, show-control networks, and fast agent-assisted prototyping.
The integration is local-first:
Codex / ChatGPT desktop / Codex CLI
│ MCP over stdio
▼
touchdesigner-mcp (Node.js)
│ authenticated HTTP on 127.0.0.1
▼
TouchDesigner Web Server DAT
│ main-thread Python callbacks
▼
your .toe networkWhat it can do
Inspect networks, operators, parameters, wiring, cook times, warnings, and script errors.
Create and connect COMP, TOP, CHOP, SOP, MAT, DAT, and POP operators.
Set constant parameters, Python expressions, and bind expressions.
Update GLSL/Text DAT source with optional compare-before-write protection.
Build a reusable audio analysis rig with
low,mid,high,level, andbeatchannels.Sample live CHOP values and return TOP captures as real MCP image content.
Apply ordered edit batches with a best-effort TouchDesigner undo block.
Run arbitrary TouchDesigner Python only when explicitly enabled on both sides.
The server uses the current split MCP TypeScript packages and serves both modern and legacy MCP clients through the SDK's stdio negotiation entry point.
Related MCP server: tdmcp
Requirements
TouchDesigner 2025 Official or newer. POP tooling requires a POP-capable build.
Node.js 20 or newer.
A local Codex client: ChatGPT desktop, Codex CLI, or the Codex IDE extension.
1. Install the TouchDesigner bridge
Clone this repository.
Drag
touchdesigner/install_bridge.pyinto/project1in TouchDesigner as a Text DAT.Right-click the DAT and select Run Script.
Copy the printed URL and token. The default URL is
http://127.0.0.1:9980.Confirm
http://127.0.0.1:9980/healthreturns JSON in a browser.
If TouchDesigner cannot find the sibling callback file, run this in the Textport with absolute paths:
installer = r"C:\path\to\touchdesigner-mcp\touchdesigner\install_bridge.py"
callbacks = r"C:\path\to\touchdesigner-mcp\touchdesigner\bridge_callbacks.py"
scope = {'__name__': 'touchdesigner_mcp_installer'}
exec(compile(open(installer, encoding='utf-8').read(), installer, 'exec'), scope)
scope['install'](callback_file=callbacks)The installer creates /project1/touchdesigner_mcp_bridge, a loopback-only Web Server DAT, its callback DAT, and a random bearer token. Save the .toe after installation.
2. Build the MCP server
npm install
npm run buildFrom the repository root, confirm it starts:
$env:TOUCHDESIGNER_URL = 'http://127.0.0.1:9980'
$env:TOUCHDESIGNER_TOKEN = 'paste-token-here'
node dist/index.jsThe process waits for MCP messages on stdin. Its readiness message is written to stderr so it never corrupts the MCP protocol stream.
3. Connect Codex
The supported CLI form is:
codex mcp add touchdesigner `
--env TOUCHDESIGNER_URL=http://127.0.0.1:9980 `
--env TOUCHDESIGNER_TOKEN=paste-token-here `
-- node C:\absolute\path\to\touchdesigner-mcp\dist\index.jsOr add this to ~/.codex/config.toml (also available as examples/codex.config.toml):
[mcp_servers.touchdesigner]
command = "node"
args = ["C:/absolute/path/to/touchdesigner-mcp/dist/index.js"]
startup_timeout_sec = 15
tool_timeout_sec = 60
default_tools_approval_mode = "writes"
[mcp_servers.touchdesigner.env]
TOUCHDESIGNER_URL = "http://127.0.0.1:9980"
TOUCHDESIGNER_TOKEN = "paste-token-here"Restart the local Codex client after adding the server, then use /mcp or codex mcp list to confirm it is enabled. The ChatGPT desktop app and Codex IDE extension also expose MCP server settings in their UI.
First session
Try this prompt:
Check TouchDesigner status. Inspect
/project1, build an audio-reactive analysis rig, then create a feedback-based visual whose displacement follows low frequencies and whose color follows high frequencies. Check the network for errors and capture the final TOP so we can iterate visually. Do not delete existing operators.
Codex can use this verification loop:
td_statustd_list_operatorsandtd_inspect_operatortd_build_audio_reactive_rigtd_batchfor coherent graph creation and wiringtd_sample_chopto calibrate live rangestd_get_errorstd_capture_topto evaluate the result visually
Tools
Tool | Purpose | Mutation |
| Bridge, build, project, timeline, capabilities | Read |
| Bounded recursive network discovery | Read |
| Parameters, wiring, cook data, errors | Read |
| Create any supported OP type | Write |
| Constants, expressions, bind expressions | Write |
| Reset/open/clear-style actions | Write |
| Network wiring | Write |
| GLSL, scripts, and callback source | Write |
| Live control/audio values | Read |
| PNG/JPEG visual feedback | Read |
| Errors, warnings, and script errors | Read |
| Standardized audio features | Write |
| Up to 100 ordered graph edits | Write/destructive |
| Delete exactly one non-protected OP | Destructive |
| Arbitrary Python, opt-in only | Destructive |
Audio-reactive design notes
td_build_audio_reactive_rig creates a source, full spectrum view, filtered low/mid/high RMS branches, a full-level RMS branch, a configurable beat gate, smoothing, and /OUT_AUDIO. Use the stable output Null in expressions and exports so downstream visuals survive internal changes.
Good mappings are usually nonlinear and smoothed:
low: feedback displacement, scale, particle emission, camera kick.mid: geometry deformation, noise amplitude, line width, scene transitions.high: bloom, chromatic separation, color temperature, strobe accents.level: master intensity or a subtle breathing envelope.beat: threshold gate for cuts, triggers, and event-style accents.
Sample the live channels before choosing ranges. A Math CHOP or Function CHOP can normalize, clamp, ease, and shape response curves more reliably than hard-coded multipliers.
Safety model
The bridge listens on
127.0.0.1by default and uses a random bearer token./healthis the only unauthenticated route and exposes no project data.Request bodies, list sizes, batch sizes, and image sizes are bounded.
/,/project1, the bridge itself, and its ancestors cannot be deleted.Arbitrary Python is absent from the MCP tool list unless
TOUCHDESIGNER_ALLOW_SCRIPT=true; the TouchDesigner bridge must independently allow it.td_set_dat_textsupportsexpectedTextfor optimistic concurrency.Batch rollback uses TouchDesigner's undo system and is best-effort; save/version important projects before large mutations.
Do not expose the Web Server DAT to another interface unless you add TLS, network controls, and an appropriate authentication design. Basic local bearer-token protection is not an internet-facing security boundary.
Configuration
Environment variable | Default | Meaning |
|
| Bridge base URL |
| empty | Bearer token printed by installer |
|
| Per-call timeout |
|
| Advertise arbitrary Python tool |
|
| Maximum decoded TOP capture size |
Development
npm run validate
npm run build
npm pack --dry-runTouchDesigner-specific code is syntax-checked outside TouchDesigner, while its behavior must be integration-tested in a running licensed TouchDesigner process. The HTTP client and error handling have isolated unit tests.
See docs/architecture.md, docs/protocol.md, and CONTRIBUTING.md for extension guidance.
Sources and compatibility
This project follows the official Codex MCP configuration documentation, the official MCP TypeScript SDK server guide, and Derivative's Web Server DAT, Webserver DAT class, Connector class, and TOP capture APIs.
License
MIT
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseBqualityAmaintenanceA Model Context Protocol server that enables AI agents to control and operate TouchDesigner projects through creation, modification, and querying of nodes and project structures.142,019472MIT
- AlicenseBqualityAmaintenancetdmcp is an open-source (MIT) Model Context Protocol server for TouchDesigner. You describe a visual in plain language and your AI assistant builds the real node network inside TouchDesigner, checks it for errors, and shows a preview — it ships an embedded operator knowledge base so the model uses real operators instead of guessing. TypeScript codebase, runs locally.10022631MIT
- AlicenseBqualityAmaintenanceAn MCP server for TouchDesigner that lets AI agents inspect, build, wire, optimize, and stabilize live TD networks with 106 tools, plus a technique memory system for reusable patterns.1007MIT
- Alicense-qualityCmaintenanceEnables natural language control of TouchDesigner via AI, allowing operator creation, parameter setting, Python execution, and node graph building.6MIT
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