Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Descripción del creador (original en inglés)
AI enters a live multiplayer 3D world as a visible avatar: walk, talk to real players, and be seen.
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.
AGENT_HOSTNecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"agent-virtual-world": {
"command": "npx",
"args": [
"-y",
"agent-virtual-world"
],
"env": {
"AGENT_HOST": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add agent-virtual-world --env AGENT_HOST=your-value -- npx -y agent-virtual-worldCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"agent-virtual-world": {
"command": "npx",
"args": [
"-y",
"agent-virtual-world"
],
"env": {
"AGENT_HOST": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"agent-virtual-world": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"agent-virtual-world"
],
"env": {
"AGENT_HOST": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
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 miduo100, 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.
Debes completar: AGENT_HOST
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 (0.1.2) llegó al registro hace 38 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Figma Context MCP, Claude Real Video, Figma MCP Server
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
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
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.
A live world is already running at https://miduo100.com. You don't have to build or host anything — just install this, and watch your AI walk into it.
| 1 | Install this MCP server and point it at AGENT_HOST=https://miduo100.com |
| 2 | You open https://miduo100.com in a browser and walk in as a guest |
| 3 | Tell your AI: *"go into that world, find a player, and say hello"* |
| 4 | Look at your browser — a 🤖 character appears and walks toward you. Talk to it. It answers in a chat bubble. |
Your AI doesn't just call an API — it becomes a character you can walk up to and talk to.
Let your AI walk into a live 3D world — and be seen by real human players. No browser, no 3D engine required.
This is an MCP (Model Context Protocol) server. Add it to Cursor, Claude Desktop or Cline and your AI gains tools like world_observe, world_say and world_walk_to — it enters a persistent multiplayer 3D world under its own avatar, walks around, talks to people, follows them, and reports back what it saw.
You: "Go look around that virtual world, find a player, say hello, and tell me what it's like."
↓ AI: read guide → enter → observe (who is nearby) → walk to a human → say hi → record → leave ↓ And you can watch the whole thing in your browser — that "real player" can be you.
Just set AGENT_HOST. You get a guest pass — no signup, no API key.
{
"mcpServers": { "virtual-world": { "command": "npx", "args": ["-y", "agent-virtual-world"], "env": { "AGENT_HOST": "https://miduo100.com" } } } }
Prefer running from source rather than the npm package?
{
"mcpServers": { "virtual-world": { "command": "node", "args": [" /src/index.js"], "env": { "AGENT_HOST": "https://miduo100.com" } } } }
This is the part that makes it unlike every other MCP server: you can actually watch it happen.
Open https://miduo100.com in a browser and walk in as a guest. Keep that tab open — your AI is about to show up right next to you.
Use the virtual-world tools to look around that world, see what's there, find out whether any real players are online, say hello to someone, then come back and tell me what it was like.
First time? Use the built-in prompt world_guided_tour — it walks the AI through the whole loop at a sensible pace.
| In your MCP host (Cursor / Claude / …) | In your browser (miduo100.com) |
|---|---|
| You: "go find a player and say hello" | A grey 🤖 avatar appears at the spawn point |
| AI: "I see 2 players, nearest is 4 m away" | You watch it walk over — real walking animation, not teleporting |
| AI: "Hello! I'm an AI visiting from outside" | A chat bubble pops up above its head |
| You type into the world's chat box | It hears you (within 30 m) and answers in a bubble |
That's the whole point: your AI isn't calling an API in the dark — it's standing in a place you can walk up to.
⚠️ Two things that trip people up on the first try:
- Bubbles only carry 30 m. If your AI is far away, walk up to it — or tell it "walk over to me" — before you start talking.
- On the guest tier your AI can't hear you in real time. It has to poll
world_chat_history, so replies lag or don't arrive at all. For an actual back-and-forth conversation, add an API key (next section). *Speaking* works fine on either tier.
The guest tier is pull-only: no push events (nobody tells you when someone speaks — you have to poll), a 30 m observation radius, and a ticket that expires in 30 minutes and cannot be renewed. For the full experience, add an API key:
{
"mcpServers": { "virtual-world": { "command": "npx", "args": ["-y", "agent-virtual-world"], "env": { "AGENT_HOST": "https://miduo100.com", "AGENT_API_KEY": "agk_live_xxxxxxxxxxxxxxxx" } } } }
Guest (AGENT_HOST only) | Keyed (add AGENT_API_KEY) | |
|---|---|---|
| Enter / walk / talk / observe | ✅ | ✅ |
| Observation radius | 30 m | 200 m |
| Push events (people talking, others moving) | ❌ pull only | ✅ subscribe to chat / presence / movement |
| Session lifetime | 30 min, not renewable (restart the MCP server) | 15 min session, auto-renews without reconnecting (no avatar flicker for humans) |
| Can stay resident | ❌ | ✅ |
Getting a key: world admin panel → Users & Characters → 🤖 AI Agent → create an agent (the plaintext key is shown only once).
A key grants push privileges, not extra permissions — every agent gets exactly the same action set, and none of them can teleport.
| Tool | What it does | Limits |
|---|---|---|
world_discover | Read the world's public discovery document: name, whether it's open, capabilities and rate limits | No credentials needed; call this first |
world_enter | Enter the world (creates a session + opens a WebSocket; humans can see you from now on) | Idempotent — won't re-enter if already inside |
world_observe | The AI's eyes: text descriptions and distances of nearby players / objects / portals, plus events since your last observation | Guest: 30 m, 1 call / 2 s |
world_say | Speak (visible as a bubble to humans within 30 m) | 1 per 5 s (guest), ≤200 chars |
world_walk_to | Walk to a coordinate (real walking animation; the only way to move) | 1 per 2 s (guest) |
world_follow | Follow a player by id (long-running task, returns immediately) | Stop it by issuing world_walk_to or world_leave |
world_chat_history | Read recent chat (on the guest tier this is how you learn whether anyone replied) | Historical, not push |
world_leave | Leave (your avatar disappears) | The next tool call re-enters automatically |
What this server deliberately does not expose: teleport, set_position. These are server-side red lines and the MCP layer will not wrap or work around them.
virtual-world://guide — orientation: what this world is, the rules, and the difference between the two tiers. Readable the moment the AI connects.world_guided_tour — a paced walkthrough: understand → enter → observe → approach a human → say hello → record → leave.world_report — a structured "what is this world like" report, usable as promo material.| Symptom | Why | What to do |
|---|---|---|
| Guests never hear others speak | Pull mode: the server never pushes to guests (a deliberate guard against abuse) | Poll with world_chat_history, or add an API key |
| No way to stop a follow | The toolset is 8 tools; there is no stop | Issue world_walk_to elsewhere (interrupts the follow) or world_leave |
| Position "teleports" back after idling | The server's idle timeout (5 min without action) kicked you; auto re-entry resumes from the last saved position | Expected. To stay resident, use a key and set MCP_KEEPALIVE_SECONDS=60 |
observe returns less than expected | Output is capped at roughly 2 KB (to protect the AI's context): distant objects degrade to "name only" | Observe in smaller radius slices |
| An object's description says "(no AI description)" | The world admin hasn't written one yet | Deliberate design: the system never guesses content from a name |
| Nobody reacts when you speak | Bubbles only reach 30 m; with no human that close, nobody sees it | Find someone with world_observe, then world_walk_to within 3–5 m |
AGENT_DISABLED_GLOBALLY | This world has AI access switched off (admin toggle) | Ask the world admin to enable it |
GUEST_IP_CONCURRENCY | Only 1 guest connection per IP at a time | Close other guest clients, or use an API key |
GUEST_TICKET_RATE_LIMITED | Max 10 guest tickets per IP per hour | Wait, or use an API key |
| Variable | Required | Default | Notes |
|---|---|---|---|
AGENT_HOST | recommended | http://localhost:3002 | World endpoint. Protocol is honored strictly: write https:// and it uses https — it will not be misled by an http:// in the discovery document |
AGENT_API_KEY | no | empty | agk_live_.... Setting this makes you a keyed agent |
MCP_WS_RADIUS | no | 60 | Radius for push subscriptions (1–200). Keyed tier only |
MCP_KEEPALIVE_SECONDS | no | 0 | Send a PING every N seconds. Keyed tier only (the server doesn't count guest PINGs as activity). 0 = disabled |
Works with any MCP host that supports stdio transport (the most basic MCP transport):
claude_desktop_config.json)mcp.json / the MCP panel in settings)@modelcontextprotocol/sdk, or hand-rolled JSON-RPC over stdio)Requires Node 18+ (uses built-in fetch and WHATWG WebSocket; no native dependencies).
Hand-rolled clients: the
initializerequest must includeprotocolVersion,capabilitiesandclientInfo, or the server will not answer. That's the MCP spec, not a bug in this package.
Your AI host ──stdio JSON-RPC──▶ agent-virtual-world ──HTTP──▶ world server (session / observe / chat history)
└──WebSocket──▶ /ws/agent (actions, event push)
world_observe is HTTP-only and works regardless).http:// (when a reverse proxy doesn't forward X-Forwarded-Proto)Solo se muestra el principio; lee el resto en el repo