Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
70-tool MCP server for TouchDesigner: build, wire and debug live networks from an AI agent.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
El creador no incluyó detalles de instalación en el registro. Consulta el README del creador más abajo.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub dylanroscover, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (6.2.67) llegó al registro hace 34 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Master CSS
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Inspect Master CSS classes, generated CSS, and project stylesheets from your AI client.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
create at the speed of thought.
embody.tools · Documentation · Manifesto · Changelog
Embot — he hops through your network while Envoy builds
Embody puts your ideas on screen as fast as you can describe them. Operators, connections, parameters, the works. Want to try a different direction? Spin up a new approach in seconds. Compare attempts side by side. Branch off the one that works. The tool keeps up with you, instead of the other way around.
[Envoy](https://dylanroscover.github.io/Embody/envoy/) — *forward velocity.* An embedded MCP server lets Claude Code, Codex, OpenCode, Gemini, Cursor, Windsurf, and GitHub Copilot (via VS Code) talk directly to your live TouchDesigner session. Create operators, wire them up, set parameters, write extensions, debug errors — by saying what you want. No copy-pasting code. No describing your network in chat. Idea → operators in seconds.
Embody — *lateral velocity.* Tag any operator and Embody externalizes it to files on disk that mirror your network hierarchy. Try a new direction, branch off a good one, restore the state from yesterday — all in seconds. Your externalized files are the source of truth, so every project opens already in flow.
Convoy — *outward velocity.* Convoy-enabled Embody nodes on a trusted LAN discover, inspect, and control each other — one AI session relaying builds, test runs, saves, screenshots, files, and restarts to every machine in the room. A small per-user background app keeps each computer reachable even while TouchDesigner is closed, so a closed project can be started remotely. Convoy guide
[TDXN](https://dylanroscover.github.io/Embody/tdxn/) — *the substrate that makes it all possible.* TouchDesigner networks exported as human-readable YAML. The format is what lets your AI agent understand what's on the screen, what lets you diff one attempt against another, and what lets a network reconstruct itself from text on the next project open. TDXN is what makes the rest of this possible.
| What | Why it matters | |
|---|---|---|
| 🤖 | Envoy MCP Server | 70 tools let your AI assistant build, wire, parameterize, and debug live networks. The first time you watch it happen, you stop typing operator names by hand for good. |
| 📄 | TDXN Network Format | Networks become text. Diff two versions, revisit any version, hand an LLM a complete picture of what's on screen — all from a single .tdxn file. |
| 📦 | Automatic Restoration | Externalized files are written on save, so any COMP can be recovered from disk. By default (Export-on-Save) the .toe stays authoritative on open; switch to Roundtrip mode to rebuild TDXN-strategy COMPs from .tdxn on every open. |
| 📤 | Portable Tox Export | Pull any COMP out as a self-contained .tox with external references stripped. Ship a piece of your project anywhere. |
| 🐍 | Project Python Environment | One .venv per project, built against TouchDesigner's own interpreter — Envoy runs from it, your packages import inside TD from it, and AI agents manage it hands-free. Python Environment |
| 🛰️ | Convoy LAN Relay | Convoy-enabled Embody nodes on a trusted LAN discover, inspect, and control each other through Envoy — relay test runs, saves, screenshots, and restarts to other machines from one AI session. Convoy guide |
Requirements: TouchDesigner 2025.33230 or later (Windows / macOS). No Python setup needed — Embody builds a per-project Python environment (.venv) matched to TouchDesigner's own interpreter, and your own packages can live in it too. No special folder structure either: Embody works in any project folder, and if you happen to use git, every change is also a clean diff for free.
Download the Embody .tox from /release and drag it into your TouchDesigner project. The [Setup Wizard](https://dylanroscover.github.io/Embody/embody/setup-wizard/) opens and walks you through the choices that matter — how much autonomy Embody gets, what to externalize, whether to enable the AI assistant (Envoy) and for which tool, permissions, whether to join a trusted-LAN Convoy, and where config files live. Nothing changes until the final click, and you can re-run it anytime via the Setup Wizard pulse on the Embody COMP.
Updating Embody: Embody updates itself — pulse Check for Update on the About page (or set Auto-Update to check at startup), and a verified release is downloaded, backed up against, and swapped in place. Your settings and tracked externalizations live on disk and survive the update untouched. See the auto-update guide. Manual alternative: delete the old Embody COMP and drag the new
.toxin its place — the new version picks up your on-disk state automatically, no re-scan, no files rewritten.
Provisioning a machine with no one at it (a render node, a media server)? The bootstrap installs Embody into a .toe offline with TouchDesigner's own tools, in one line.
lctrl twice to open the tagger (pick a strategy for a COMP, a file format for a DAT)ctrl + shift + u to update all externalizations, or ctrl + alt + u to update only the current COMP. Externalized files are written on save; on open, the .toe stays authoritative by default (Export-on-Save), while Roundtrip mode also reconstructs TDXN-strategy COMPs from diskTip: Externalization is opt-in — nothing is written to disk until you tag it. To capture your AI assistant's work automatically, set Auto-Externalize New Ops (Envoy parameter page) and everything it creates through Envoy is tagged and externalized as it's built.
For supported formats, folder configuration, duplicate handling, Manager UI, and more — see the Embody docs.
Embody includes Envoy, an embedded MCP server that gives AI coding assistants direct access to your live TouchDesigner session.
Envoyenable) does the same thing with your current settings127.0.0.1:9870 (configurable via Envoyport; if the port is taken by another instance, Envoy scans forward automatically).mcp.json (STDIO bridge, so tools are available even before TD is running) at your AI project root. By default that's the git repo root; the wizard's config-location step — or the Aiprojectroot parameter — can point it at the .toe folder or a custom path instead. Projects without a git repo still get config generated in the .toe folder.mcp.json automaticallyThe generated config runs Envoy's bridged STDIO transport (recommended — it can launch and restart TD for you). If you'd rather wire a client by hand, the direct HTTP transport works whenever TD is running:
{
"mcpServers": { "envoy": { "type": "http", "url": "http://127.0.0.1:9870/mcp" } } }
| Tool | What It Does |
|---|---|
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) |
get_op_errors | Inspect errors on any operator and its children |
...and 56 more. See the full tools reference.
When Envoy starts, it always generates an AGENTS.md file in your project root with TD development patterns and project-specific guidance. It also writes a client-specific config for whichever assistant you select in the Aiclient parameter (CLAUDE.md + .claude/ for Claude Code, opencode.json + .claude/ for OpenCode, Cursor/Windsurf rules, Copilot instructions, GEMINI.md for Gemini; Codex and OpenCode read AGENTS.md directly). For OpenCode and local-model setups, see the Local Models & Open Clients guide.
TDXN (TouchDesigner eXternal Network) is the file format that makes the rest of Embody possible. It exports an entire operator network — operators, connections, parameters, layout, annotations, DAT content — as a single human-readable YAML file. Your AI agent can read it. You can read it. Any text tool can diff it. The network can rebuild itself from it.
This is the substrate. Every other capability — AI-driven building, version control, automatic restoration — builds on top of it.
ctrl + shift + ectrl + alt + eexport_network / import_network MCP toolsSee the full TDXN specification for format details, import process, and round-trip guarantees.
| Shortcut | Action |
|---|---|
lctrl + lctrl | Tag or manage the operator under the cursor |
ctrl + shift + u | Update all externalizations |
ctrl + alt + u | Update only the current COMP |
ctrl + shift + r | Refresh tracking state |
ctrl + shift + o | Open the Manager UI |
| ctrl + shift + c | Copy the select
Solo se muestra el principio; lee el resto en el repo