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)
Chat with 300+ LLMs via OpenRouter. Analyze and generate images, audio, and video from MCP.
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.
OPENROUTER_API_KEY, OPENROUTER_DEFAULT_MODEL, OPENROUTER_OUTPUT_DIR, OPENROUTER_MAX_TOKENS, OPENROUTER_PROVIDER_SORT, OPENROUTER_PROVIDER_IGNORE, OPENROUTER_PROVIDER_ORDER, OPENROUTER_PROVIDER_QUANTIZATIONS, OPENROUTER_PROVIDER_REQUIRE_PARAMETERS, OPENROUTER_PROVIDER_DATA_COLLECTION, OPENROUTER_PROVIDER_ALLOW_FALLBACKS, OPENROUTER_CACHE_RESPONSES, OPENROUTER_INCLUDE_REASONINGLos 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 …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"openrouter-multimodal": {
"command": "npx",
"args": [
"-y",
"@stabgan/openrouter-mcp-multimodal"
],
"env": {
"OPENROUTER_API_KEY": "your-value",
"OPENROUTER_DEFAULT_MODEL": "your-value",
"OPENROUTER_OUTPUT_DIR": "your-value",
"OPENROUTER_MAX_TOKENS": "your-value",
"OPENROUTER_PROVIDER_SORT": "your-value",
"OPENROUTER_PROVIDER_IGNORE": "your-value",
"OPENROUTER_PROVIDER_ORDER": "your-value",
"OPENROUTER_PROVIDER_QUANTIZATIONS": "your-value",
"OPENROUTER_PROVIDER_REQUIRE_PARAMETERS": "your-value",
"OPENROUTER_PROVIDER_DATA_COLLECTION": "your-value",
"OPENROUTER_PROVIDER_ALLOW_FALLBACKS": "your-value",
"OPENROUTER_CACHE_RESPONSES": "your-value",
"OPENROUTER_INCLUDE_REASONING": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add openrouter-multimodal --env OPENROUTER_API_KEY=your-value --env OPENROUTER_DEFAULT_MODEL=your-value --env OPENROUTER_OUTPUT_DIR=your-value --env OPENROUTER_MAX_TOKENS=your-value --env OPENROUTER_PROVIDER_SORT=your-value --env OPENROUTER_PROVIDER_IGNORE=your-value --env OPENROUTER_PROVIDER_ORDER=your-value --env OPENROUTER_PROVIDER_QUANTIZATIONS=your-value --env OPENROUTER_PROVIDER_REQUIRE_PARAMETERS=your-value --env OPENROUTER_PROVIDER_DATA_COLLECTION=your-value --env OPENROUTER_PROVIDER_ALLOW_FALLBACKS=your-value --env OPENROUTER_CACHE_RESPONSES=your-value --env OPENROUTER_INCLUDE_REASONING=your-value -- npx -y @stabgan/openrouter-mcp-multimodalCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"openrouter-multimodal": {
"command": "npx",
"args": [
"-y",
"@stabgan/openrouter-mcp-multimodal"
],
"env": {
"OPENROUTER_API_KEY": "your-value",
"OPENROUTER_DEFAULT_MODEL": "your-value",
"OPENROUTER_OUTPUT_DIR": "your-value",
"OPENROUTER_MAX_TOKENS": "your-value",
"OPENROUTER_PROVIDER_SORT": "your-value",
"OPENROUTER_PROVIDER_IGNORE": "your-value",
"OPENROUTER_PROVIDER_ORDER": "your-value",
"OPENROUTER_PROVIDER_QUANTIZATIONS": "your-value",
"OPENROUTER_PROVIDER_REQUIRE_PARAMETERS": "your-value",
"OPENROUTER_PROVIDER_DATA_COLLECTION": "your-value",
"OPENROUTER_PROVIDER_ALLOW_FALLBACKS": "your-value",
"OPENROUTER_CACHE_RESPONSES": "your-value",
"OPENROUTER_INCLUDE_REASONING": "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": {
"openrouter-multimodal": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@stabgan/openrouter-mcp-multimodal"
],
"env": {
"OPENROUTER_API_KEY": "your-value",
"OPENROUTER_DEFAULT_MODEL": "your-value",
"OPENROUTER_OUTPUT_DIR": "your-value",
"OPENROUTER_MAX_TOKENS": "your-value",
"OPENROUTER_PROVIDER_SORT": "your-value",
"OPENROUTER_PROVIDER_IGNORE": "your-value",
"OPENROUTER_PROVIDER_ORDER": "your-value",
"OPENROUTER_PROVIDER_QUANTIZATIONS": "your-value",
"OPENROUTER_PROVIDER_REQUIRE_PARAMETERS": "your-value",
"OPENROUTER_PROVIDER_DATA_COLLECTION": "your-value",
"OPENROUTER_PROVIDER_ALLOW_FALLBACKS": "your-value",
"OPENROUTER_CACHE_RESPONSES": "your-value",
"OPENROUTER_INCLUDE_REASONING": "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.
OPENROUTER_DEFAULT_MODEL envOPENROUTER_OUTPUT_DIR envOPENROUTER_MAX_TOKENS envOPENROUTER_PROVIDER_SORT envOPENROUTER_PROVIDER_IGNORE envOPENROUTER_PROVIDER_ORDER envOPENROUTER_PROVIDER_QUANTIZATIONS envOPENROUTER_PROVIDER_REQUIRE_PARAMETERS envOPENROUTER_PROVIDER_DATA_COLLECTION envOPENROUTER_PROVIDER_ALLOW_FALLBACKS envOPENROUTER_CACHE_RESPONSES envOPENROUTER_INCLUDE_REASONING envEsta 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 stabgan, 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: OPENROUTER_API_KEY
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 (4.5.1) llegó al registro hace 6 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js, Docker 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.
OpenRouter MCP Multimodal
The MCP server for multimodal AI agents.
One install · 21 tools · 300+ OpenRouter models · text, vision, audio & video — analysis and generation.
Quick start · Tools · Examples · Security · Troubleshooting · Development · Releasing · FAQ
OpenRouter MCP Multimodal is a production-grade Model Context Protocol (MCP) server — listed on the official MCP Registry as io.github.stabgan/openrouter-multimodal. It connects AI coding agents (Cursor, Claude Desktop, VS Code, Windsurf, Cline, and others) to OpenRouter's unified LLM API over stdio.
Unlike text-only MCP servers, one install covers the full multimodal surface:
| Capability | Tools | Highlights |
|---|---|---|
| Chat | chat_completion, start_chat_completion, get_chat_completion_status | 300+ models, :nitro / :floor / :free / :online / :exacto suffixes, provider routing, web search, response caching, reasoning tokens, reasoning effort control, structured output (JSON Schema), async jobs, multi-model fusion, subagent delegation, response healing |
| Vision | analyze_image, generate_image, generate_image_dedicated | OCR, captioning, VQA, image generation with reference inputs, dedicated Image API with resolution/quality/format control |
| Audio | analyze_audio, generate_audio, text_to_speech, speech_to_text | Transcription, speech/music generation, dedicated TTS (Deepgram, ElevenLabs, OpenAI; free Deepgram default, voices, mp3/pcm), dedicated STT (Whisper, GPT-4o Transcribe, Voxtral, ElevenLabs Scribe) |
| Video | analyze_video, generate_video, generate_video_from_image, get_video_status | Clip understanding, Veo 3.1 / Seedance 2.5 / Kling v3.0 / Wan 2.7 / Grok Imagine Video generation with progress notifications |
| Embedding | embed_text | 37+ embedding models (text-embedding-3-small/large, Nomic, Jina, Voyage, etc.) |
| Decisions | decide | Structured yes/no, choice, or score decisions with calibrated probabilities (System One models) |
| Catalog | search_models, get_model_info, validate_model, rerank_documents, health_check | Model discovery, validation, reranking, ops health |
Production hardening: input/output path sandboxes (including analyze\_\* local files as of v4.5.2), SSRF guards, structured errors with _meta.code, MCP 2025-11-25 structured outputs + tool icons, async video progress notifications, and 3929 automated tests (3905 unit/mock + 7 regression + 17 live integration).
1. Get an API key (free tier works) → openrouter.ai/keys
2. Run the server
export OPENROUTER_API_KEY=sk-or-v1-...
npx -y @stabgan/openrouter-mcp-multimodal
3. Add to your MCP client — copy one JSON block from Install into your client config:
| Client | Config location |
|---|---|
| Cursor | Project: .cursor/mcp.json · User: Cursor Settings → MCP |
| Claude Desktop | macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json |
| VS Code | .vscode/mcp.json (workspace) or User Settings → MCP |
| Windsurf | Windsurf Settings → MCP (same mcpServers JSON shape as Cursor) |
Use the mcpServers object from Manual config below.
No credits required to start. Free models such as
google/gemma-4-26b-a4b-it:freework for chat and vision. Video/audio generation typically needs credits.
MCP servers are distributed through several packaging models. This server is implemented in Node.js/TypeScript; the table below maps each ecosystem method to how you run it here.
| Method | Runtime | Best for | This server |
|---|---|---|---|
| [npx](#manual-config) | Node.js 22+ | Most MCP clients (default) | ✅ @stabgan/openrouter-mcp-multimodal |
| [uvx / pipx](#manual-config) | Python 3.10+ and Node.js 22+ | Python-first workflows, same pattern as PyPI MCP servers | ✅ mcp-server-openrouter-multimodal |
| [npm global](#manual-config) | Node.js 22+ | Pin a version without re-downloading | ✅ |
| [node (local)](#manual-config) | Node.js 22+ | Contributors / air-gapped builds | ✅ |
| [Docker Hub](#manual-config) | Docker | Isolation, no Node on host | ✅ stabgan/openrouter-mcp-multimodal |
| [GHCR](#manual-config) | Docker | GitHub-native OCI pulls | ✅ ghcr.io/stabgan/openrouter-mcp-multimodal |
| [Smithery CLI](#smithery) | Node.js (via installer) | Interactive install into Claude/Cursor/etc. | ✅ |
| [MCP Registry](#mcp-registry) | npm or OCI | Official discovery (io.github.stabgan/openrouter-multimodal) | ✅ listing |
| [One-click deeplinks](#one-click) | Node.js | Cursor, VS Code, Kiro | ✅ |
| [Claude Code CLI](#claude-code-cli) | Node.js | Terminal-first Claude Code users | ✅ |
| [MCP Inspector](#mcp-inspector) | Node.js | Debug / list tools locally | ✅ |
| **Windows cmd /c npx*
Solo se muestra el principio; lee el resto en el repo