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  1. Home
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  3. Embody MCP Server for TouchDesigner
E
Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 8:02:32 PM

Embody MCP Server for TouchDesigner

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository199 GitHub StarsTotal stargazers on GitHub for the source repository (199 stars).Visit Website
touchdesignermcpcreative-codingpythonvisual-programming

Connects AI coding assistants to live TouchDesigner sessions for building, wiring, parameterizing, and debugging networks.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON â–¾

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "embody-mcp-server-for-touchdesigner": {
      "url": "http://127.0.0.1:9870/mcp"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (7) Directory Badge Claim listing Alternatives💻 More in Developer Tools

Overview

Embody - MCP Server for TouchDesigner MCP server connects supported AI coding assistants to a live TouchDesigner session through Envoy, an embedded MCP server. Its 70 tools can create operators, set parameters, connect networks, execute Python in TouchDesigner’s main thread, export `.tdxn` YAML, scaffold extensions, and inspect operator errors. Use it when an agent needs to construct or troubleshoot TouchDesigner networks directly rather than generating instructions for manual edits. TouchDesigner 2025.33230 or later is required on Windows or macOS.

Use cases

•Create TouchDesigner operators from an agent request
•Wire live networks and change their parameters
•Run Python actions in a TouchDesigner session
•Export networks for text-based comparison
•Inspect operator and child errors

Key features

•70 MCP tools for TouchDesigner
•Operator creation and network wiring
•Parameter values, expressions, and bind modes
•Main-thread Python execution
•Diffable .tdxn YAML export
•Operator error inspection

Capabilities & Tool Schemas (7) ~95 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Embody MCP Server for TouchDesigner.

create_op

Create any operator type in any network

set_parameter

Set values, expressions, or bind modes on any parameter

connect_ops

Wire operators together

execute_python

Run arbitrary Python in TD's main thread

export_network

Export networks to diffable `.tdxn` YAML

create_extension

Scaffold a full extension (COMP + DAT + wiring)

How Embody MCP Server for TouchDesigner works

What Embody - MCP Server for TouchDesigner MCP server does

Embody - MCP Server for TouchDesigner MCP server exposes a live TouchDesigner project to AI coding assistants through Envoy, the embedded MCP server included with Embody. Agents can create and modify networks, inspect their state, and run operations inside the active TouchDesigner session.

The server provides 70 MCP tools. The documented capabilities include creating any operator type in any network, changing parameter values or expressions, selecting bind modes, wiring operators together, executing arbitrary Python on TouchDesigner’s main thread, exporting networks to diffable .tdxn YAML, scaffolding extensions, and checking errors on operators and their children.

This fits workflows where an agent must build a visual or interactive network in TouchDesigner, make iterative changes, or diagnose errors in an existing project. It is not presented as a general-purpose TouchDesigner file parser or a standalone renderer; the main workflow depends on access to a running TouchDesigner session.

How it works

Envoy runs inside TouchDesigner and listens on 127.0.0.1:9870 by default. The port can be changed, and Envoy scans forward if the selected port is already occupied. A .mcp.json configuration is written at the AI project root, normally the Git repository root, so a supported assistant can discover the MCP tools. The project root can instead be set to the .toe folder or another custom location.

Tool calls operate against the live network. Python execution runs in TouchDesigner’s main thread, which allows agent-driven actions to use the application’s current state. Network exports use the .tdxn YAML format, making exported structures suitable for text-based comparison and reconstruction workflows described by the project.

Setup and configuration

Install Embody by downloading its .tox release and dragging it into a TouchDesigner project. The Setup Wizard then guides configuration, including whether to enable Envoy and which AI tool to configure. Envoy can also be enabled through the Envoyenable parameter, while Envoyport controls the listening port and Aiprojectroot controls the AI project root.

The documented requirement is TouchDesigner 2025.33230 or later on Windows or macOS. Embody creates a per-project .venv matched to TouchDesigner’s Python interpreter, so no separate Python setup is required for the described installation path.

Tools and capabilities

Embody - MCP Server for TouchDesigner MCP server includes tools for:

  • Creating operators across TouchDesigner networks.
  • Setting parameter values, expressions, and bind modes.
  • Connecting operators into a network.
  • Running arbitrary Python in TouchDesigner’s main thread.
  • Exporting networks as diffable .tdxn YAML.
  • Creating an extension scaffold with a COMP, DAT, and wiring.
  • Inspecting errors on an operator and its children.

The broader Embody project also supports externalized network files, automatic restoration options, portable .tox export, and project Python environments. These are project features surrounding Envoy rather than additional MCP tool details established in the supplied tool list.

Limitations and notes

The server requires TouchDesigner 2025.33230 or later and is documented for Windows and macOS. Its Python execution tool runs arbitrary code in TouchDesigner’s main thread, so agents should be given only the permissions appropriate for the project.

Envoy is configured for local access by default through 127.0.0.1; the supplied material does not establish remote access as a default server mode. The README names integrations with Claude Code, Codex, Gemini CLI, Cursor, Windsurf, and GitHub Copilot through VS Code. OpenCode is also named in the README, but it is not included in the directory’s compatible-client slug list.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
199
Stargazers on the source repository.
Last commit
1d ago
Most recent push to the default branch.
Tools exposed
7
Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Embody MCP Server for TouchDesigner

Embody - MCP Server for TouchDesigner is an MCP server that connects AI coding assistants to a live TouchDesigner session through Envoy. Its main tools create operators, set parameters, connect operators, execute Python in TouchDesigner’s main thread, export `.tdxn` YAML networks, scaffold extensions, and inspect operator errors.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand â–¾
TransportSSE (Remote)
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars199
GitHub Star CountTotal stargazers on GitHub representing community popularity (199 stars).
Last commit1d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 13, 2026
57Quality signal: Good · 57/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity8/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

★ FeaturedCall4me logo

Call4me

call4me lets your AI agent make real phone calls for you. Ask Claude, ChatGPT, Cursor, Codex or your own app to book a table, schedule a dentist appointment, cancel a subscription or ask a business a question. It calls, waits on hold, gets through the phone menu, talks to the person who answers, and reports back with the outcome and a transcript. It can also ring you to join the call. Calls are paid from prepaid credits, starting at $10.

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