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)
Run any Relay model (image, video, audio, LLM), poll tasks, upload files and search Relay's docs.
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.
RELAY_API_KEY, X-API-KeyLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"relaygpu": {
"command": "npx",
"args": [
"-y",
"@relaygpu/mcp"
],
"env": {
"RELAY_API_KEY": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add --transport http relaygpu https://mcp.relaygpu.com/mcp --header 'X-API-Key: your-value'claude mcp add relaygpu --env RELAY_API_KEY=your-value -- npx -y @relaygpu/mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"relaygpu": {
"url": "https://mcp.relaygpu.com/mcp",
"headers": {
"X-API-Key": "your-value"
}
}
}
}Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"relaygpu": {
"command": "npx",
"args": [
"-y",
"@relaygpu/mcp"
],
"env": {
"RELAY_API_KEY": "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": {
"relaygpu": {
"type": "http",
"url": "https://mcp.relaygpu.com/mcp",
"headers": {
"X-API-Key": "your-value"
}
}
}
}Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"relaygpu": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@relaygpu/mcp"
],
"env": {
"RELAY_API_KEY": "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.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
X-API-Key secreto obligatorio HTTP headerEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con el dominio relaygpu.com (el registro comprueba quién es dueño del dominio)
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
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: RELAY_API_KEY, X-API-Key
Funciona de las dos formas: instálalo en tu computadora o conéctate a la versión en la nube.
El repo de GitHub cambió por última vez –, y la última versión (0.1.8) llegó al registro hace 13 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
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.
Relay's MCP server. Your agent can find a Relay model, read its input schema, run it, poll long tasks, upload files, run workflows and search the Relay docs, all from Claude Code, Cursor, VS Code or Claude Desktop. It is built on @relaygpu/client. The tools are generic and take the model as a string, so a model added to Relay works without a new release.
Connect to the hosted server, or run it locally:
| How | Credential | |
|---|---|---|
| Hosted (Streamable HTTP) | https://mcp.relaygpu.com/mcp, nothing to install | X-API-Key: relay_sk_... header, or Authorization: Bearer |
| Local (stdio) | npx -y @relaygpu/mcp (Node ≥ 20) | RELAY_API_KEY=relay_sk_... in its environment; optional RELAY_BASE_URL (default https://relaygpu.com) |
The server never stores your key: the hosted one reads it from each request and uses it for that request only, the local one reads it from its environment.
Claude Code, Codex, Cursor and VS Code connect to the hosted server: no Node, no npx. Claude Desktop accepts remote servers only through OAuth, which v0 does not offer yet, so it uses the local server through a one-click bundle. Every client can also run the local server; see Local server.
Terminal, in the CLI or the VS Code / JetBrains extension alike:
claude mcp add --transport http --scope user relay https://mcp.relaygpu.com/mcp --header "X-API-Key: relay_sk_..."
--scope user makes it available in every project; without it the server exists only in the directory you ran the command in. Check it with /mcp in a new session. If the terminal answers command not found: claude, the extension is installed but the CLI is not: install it with curl -fsSL https://claude.ai/install.sh | bash (or npm install -g @anthropic-ai/claude-code).
Codex sends the key as a Bearer token from an environment variable, so the key stays out of config.toml. Set RELAY_API_KEY in your shell profile, then:
codex mcp add relay --url https://mcp.relaygpu.com/mcp --bearer-token-env-var RELAY_API_KEY
The button installs the entry below with a placeholder key; replace relay_sk_... in Cursor's MCP settings afterwards. By hand: ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project).
{
"mcpServers": { "relay": { "url": "https://mcp.relaygpu.com/mcp", "headers": { "X-API-Key": "relay_sk_..." } } } }
This installs the server for VS Code's own agent (Copilot Chat). Using Claude Code inside VS Code? Use the Claude Code command instead: the Claude Code extension does not read VS Code's MCP config.
VS Code asks for the key once and keeps it in its secret storage. By hand, in .vscode/mcp.json (one workspace) or with MCP: Open User Configuration (every workspace):
{
"inputs": [{ "type": "promptString", "id": "relay-key", "description": "Relay API key (relay_sk_...)", "password": true }], "servers": { "relay": { "type": "http", "url": "https://mcp.relaygpu.com/mcp", "headers": { "X-API-Key": "${input:relay-key}" } } } }
relay.mcpb.The bundle runs on Claude Desktop's built-in Node, so nothing else needs to be installed. get_credits and get_usage read the account, so they take a dashboard JWT or a custom-tier superkey, never a plain key; every other tool works with a plain key.
By hand instead: Settings → Developer → Edit Config opens claude_desktop_config.json in your default editor. Add the block below at the top level, save, then quit Claude Desktop (⌘Q) and reopen it:
{
"mcpServers": { "relay": { "command": "npx", "args": ["-y", "@relaygpu/mcp"], "env": { "RELAY_API_KEY": "relay_sk_..." } } } }
Any client can run the server on your machine instead; it needs Node 20 or newer on the PATH the client sees (see Troubleshooting).
claude mcp add relay --scope user --env RELAY_API_KEY=relay_sk_... -- npx -y @relaygpu/mcp
codex mcp add relay --env RELAY_API_KEY=relay_sk_... -- npx -y @relaygpu/mcp
Cursor (~/.cursor/mcp.json) and VS Code take the same command / args / env entry as the Claude Desktop block above; VS Code adds "type": "stdio" and lists it under "servers".
Ready-to-copy files are in examples/.
"command": run which npx in a terminal and paste the result (for example /Users/you/.nvm/versions/node/v22.22.0/bin/npx)."command" at a newer npx.npx, use "command": "cmd" with "args": ["/c", "npx", "-y", "@relaygpu/mcp"].npx downloads the package once (about 5 s); later starts take about 1 s.Tools marked *keyless* work without a credential on the local server. Keyless tools answer the public catalog; with a credential, search_models, get_model, get_pricing, estimate_cost and run_model's model lookup answer your account's: the models your tier and grants can run appear and run. The others are billed or account tools and need one. A hosted server with OAuth on (see Self-hosting) takes no request without a credential, keyless tools included.
| Tool | What it does | Example |
|---|---|---|
search_models *keyless* | Find models by tag and/or text; image-to-image also lists every image model that takes an input image (accepts: ["image"]) | "Find a text-to-video model from Kling" → {tag: "text-to-video", query: "kling"} |
get_model *keyless* | Route, request schema, example, pricing and status of one model | {model: "Qwen/qwen-image"} |
get_pricing *keyless* | Prices (public; your account's with a credential) for one model or all of them, including the media_storage SKUs | {model: "KlingTeam/v3-T2V"} |
estimate_cost *keyless* | Estimate from the price list (public; your account's with a credential; not an invoice) | {model: "KlingTeam/v3-T2V", usage: {duration_seconds: 5, quality_mode: "std"}} |
run_model | Run any model by name and wait up to 45 s | {model: "Qwen/qwen-image", input: {prompt: "a red fox", size: "512x512"}} |
check_task *keyless* | Poll a task (waits up to 30 s) | {task_id: "direct:…", wait_seconds: 30} |
upload_file | Host a file and get a URL for any *_url input (or an image editor's image), or a one-time upload slot for a local file on the hosted server | {path: "./clip.mp4", retention: "relay1d"} · {slot: true} |
list_workflows | List the workflow templates | "Which workflows can I run?" |
run_workflow | Start a workflow run, wait up to 45 s | {workflow_id: "script-voiceover", inputs: {messages: [{role: "user", content: "a lighthouse at dusk"}], voice: "Cherry"}} |
check_workflow_run *keyless* | Poll a run (waits up to 30 s) | {run_id: "…", wait_seconds: 30} |
cancel_workflow_run | Cancel a run that is still in progress | {run_id: "…"} |
get_credits | Credit balance, promos and consumption (JWT or custom-tier superkey) | "How many credits do I have left?" |
get_usage | Usage analytics (JWT or custom-tier superkey) | {period: "7d"} |
search_docs *keyless* | Search the Relay docs | {query: "idempotency key"} |
The hosted server cannot read files on your computer. How a local file reaches a model, per client:
| Client | Local file → model |
|---|---|
| Claude Code, Cursor, VS Code, Codex (hosted server) | upload_file({slot: true}) returns a curl line; the agent runs it in your shell with the file's path (no key in the shell, single use, 10 minutes) and it prints the file's url; pass that url to run_model (for example as image). |
| claude.ai, Claude Desktop, ChatGPT | upload_file({slot: true}) returns a link: open the link in your browser, pick the photo, and paste the link the page shows back into the chat; the model passes it to run_model. No key leaves the chat, single use, 10 minutes. A public URL of the file works too. |
| Local server (stdio), any client | upload_file({path: "./photo.png"}) uploads the file and returns its url. |
Image editors: search_models({tag: "image-to-image"}) lists every image model that takes an input image, each with accepts: ["image"].
tools/list and the keyless tools answer without a credential. A hosted server with OAuth on answers every /mcp request without a credential with 401 and WWW-Authenticate: Bearer resource_metadata="…", scope="relay", which is how clients start the "Connect Relay" sign-in; X-API-Key and Authorization: Bearer keep working there. A billed tool called without one returns a MISSING_CREDENTIALS tool error that names what to set: the X-API-Key header (hosted) or RELAY_API_KEY (stdio). Errors from Relay come back as tool errors that include the error class, code, requestId and the server's detail. Your key never appears in a tool result or a log line.run_model waits up to 45 s (wait_seconds, 0–45). If the task is still running after that, it returns the task_id and the line "Do not resubmit: call check_task with this task_id". Every submit carries an Idempotency-Key, so a retry does not bill twice. Pass your own idempotency_key if your agent might send the same submit again. Since 0.1.7 every model whose input schema takes async (image, video, audio) is submitted as a task, so a long image run returns a task_id, never a 524; chat models still answer inline.store_output with a media_storage SKU from get_pricing (for example relay7d). That SKU adds a per-file fee.urls); the server returns those links in place of the base64, for 1 h or the store_output lifetime. A result that carries base64 without a RelSolo se muestra el principio; lee el resto en el repo