Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
Runway ML MCP server: AI video, image, audio, voice generation, and task management
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
RUNWAYML_API_SECRET, RUNWAY_REQUEST_TIMEOUT_MS, RUNWAY_UPLOAD_TIMEOUT_MS, RUNWAY_ALLOWED_ROOT, RUNWAY_DOWNLOAD_ROOTValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"runway": {
"command": "npx",
"args": [
"-y",
"@mindstone/mcp-server-runway"
],
"env": {
"RUNWAYML_API_SECRET": "your-value",
"RUNWAY_REQUEST_TIMEOUT_MS": "your-value",
"RUNWAY_UPLOAD_TIMEOUT_MS": "your-value",
"RUNWAY_ALLOWED_ROOT": "your-value",
"RUNWAY_DOWNLOAD_ROOT": "your-value"
}
}
}
}Run this in your terminal
claude mcp add runway --env RUNWAYML_API_SECRET=your-value --env RUNWAY_REQUEST_TIMEOUT_MS=your-value --env RUNWAY_UPLOAD_TIMEOUT_MS=your-value --env RUNWAY_ALLOWED_ROOT=your-value --env RUNWAY_DOWNLOAD_ROOT=your-value -- npx -y @mindstone/mcp-server-runwayFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"runway": {
"command": "npx",
"args": [
"-y",
"@mindstone/mcp-server-runway"
],
"env": {
"RUNWAYML_API_SECRET": "your-value",
"RUNWAY_REQUEST_TIMEOUT_MS": "your-value",
"RUNWAY_UPLOAD_TIMEOUT_MS": "your-value",
"RUNWAY_ALLOWED_ROOT": "your-value",
"RUNWAY_DOWNLOAD_ROOT": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"runway": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@mindstone/mcp-server-runway"
],
"env": {
"RUNWAYML_API_SECRET": "your-value",
"RUNWAY_REQUEST_TIMEOUT_MS": "your-value",
"RUNWAY_UPLOAD_TIMEOUT_MS": "your-value",
"RUNWAY_ALLOWED_ROOT": "your-value",
"RUNWAY_DOWNLOAD_ROOT": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
RUNWAY_REQUEST_TIMEOUT_MS envRUNWAY_UPLOAD_TIMEOUT_MS envRUNWAY_ALLOWED_ROOT envRUNWAY_DOWNLOAD_ROOT envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account mindstone, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: RUNWAYML_API_SECRET
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.4.2) reached the registry 4 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Runway ML MCP server for Model Context Protocol hosts. Generate AI video, images, audio, speech, sound effects, and manage custom voices — all through a standardised MCP interface powered by Runway's generative AI models.
RUNWAYML_API_SECRET)STATUS.jsonAfter clicking the button, your host will prompt you to fill: RUNWAYML_API_SECRET, RUNWAY_REQUEST_TIMEOUT_MS, RUNWAY_UPLOAD_TIMEOUT_MS.
Manual config for Claude Desktop / Claude Code / Goose / Continue.dev (Runway ML)
{
"mcpServers": { "Runway ML": { "command": "npx", "args": [ "-y", "@mindstone/mcp-server-runway" ], "env": { "RUNWAYML_API_SECRET": "", "RUNWAY_REQUEST_TIMEOUT_MS": "60000", "RUNWAY_UPLOAD_TIMEOUT_MS": "600000" } } } }
cd <path-to-repo>/connectors/runway
npm install npm run build
npx -y @mindstone/mcp-server-runway
node dist/index.js
RUNWAYML_API_SECRET — Runway API key (from dev.runwayml.com)MCP_HOST_BRIDGE_STATE — optional path to a host bridge state file used for credential managementMINDSTONE_REBEL_BRIDGE_STATE — backwards-compatible alias for MCP_HOST_BRIDGE_STATERUNWAY_REQUEST_TIMEOUT_MS — optional override (positive integer ms, max 30 min) for the outbound HTTP request timeout applied to Runway JSON API and host-bridge calls. Default: 60000 (60s). Raise this if you see TIMEOUT errors on slow submits; lower it if you want tighter bounds.RUNWAY_UPLOAD_TIMEOUT_MS — optional override (positive integer ms, max 30 min) for the signed-URL upload leg of uploadEphemeral (large local-file uploads). Default: 600000 (10 min). Sized for up-to-200MB uploads on typical consumer uplinks (~5 Mbps) with comfortable headroom; raise for slower connections or lower for tighter bounds.{
"mcpServers": { "Runway": { "command": "npx", "args": ["-y", "@mindstone/mcp-server-runway"], "env": { "RUNWAYML_API_SECRET": "your-api-key" } } } }
{
"mcpServers": { "Runway": { "command": "node", "args": [" /connectors/runway/dist/index.js"], "env": { "RUNWAYML_API_SECRET": "your-api-key" } } } }
configure_runway_api_key — Save your Runway API keygenerate_video_from_image — Animate a still image into a videogenerate_video_from_text — Create a video from a text descriptiongenerate_video_from_video — Re-style or transform an existing video (Aleph 2.0)character_performance — Animate a character with facial expressions and body movements (Act-Two)upscale_video — Upscale a video up to 4K (Magnific Video Upscaler)Video models: generate_video_from_image takes gen4_turbo (default), gen4.5, veo3.1 or veo3.1_fast; generate_video_from_text takes gen4.5 (default), veo3.1 or veo3.1_fast. veo3 is no longer accepted by Runway and is refused before any request; use veo3.1 or veo3.1_fast instead.
generate_image — Generate an image from text, optionally with reference imagesgenerate_speech — Generate spoken audio from text using ElevenLabs voicesgenerate_sound_effect — Generate sound effects from a text descriptionswap_voice — Replace the voice in an audio or video filedub_audio — Translate and dub audio into a different languageisolate_voice — Isolate voice from background audiolist_custom_voices — List all custom voices you've createdcreate_custom_voice — Create a custom voice from a text descriptionpreview_voice — Generate a short audio preview of a voicedelete_custom_voice — Delete a custom voicecheck_runway_task — Check the status of a generation taskwait_for_runway_task — Wait for a task to complete (auto-poll)cancel_runway_task — Cancel or delete a taskdownload_runway_output — Download a Runway output to a local fileupload_media — Upload a local file to Runway's ephemeral storageget_runway_balance — Check credit balance, tier limits, and usagequery_credit_usage — Query detailed credit usage by model and dayFSL-1.1-MIT — Functional Source License, Version 1.1, with MIT future licence. The software converts to MIT licence on 2030-04-08.
files/readModes version 1 is an experimental extension used by these connectors, not part of the MCP standard. A compatible host (the app running the connector) decides which input files a tool call may read. The connector opens only the host-approved physical path, after resolving symlinks. The host supplies this permission information with each call; it is not a tool argument you need to set. Missing or invalid permission information, or a file absent from the approved list, stops the read.
Clients that do not negotiate this extension keep the connector's existing standalone file restrictions. This extension changes input-read permissions; existing output destinations, upload formats, size limits and file checks apply.