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PopNx MCPMCP servers for people who use AI · explained in plain words

Runway ML

by mindstoneversion 0.4.2i★ –iRuns on your computer
Registry nameio.github.mindstone/mcp-server-runway

Install

Overview

Description from the maker (original English)

Runway ML MCP server: AI video, image, audio, voice generation, and task management

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio
  • You need to fill in: RUNWAYML_API_SECRET

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: RUNWAYML_API_SECRET, RUNWAY_REQUEST_TIMEOUT_MS, RUNWAY_UPLOAD_TIMEOUT_MS, RUNWAY_ALLOWED_ROOT, RUNWAY_DOWNLOAD_ROOT

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

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-runway

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

Values you fill in

  • RUNWAYML_API_SECRET secret required env
    Runway API key (from dev.runwayml.com)
  • RUNWAY_REQUEST_TIMEOUT_MS env
    Outbound HTTP request timeout in milliseconds (max 1800000)
  • RUNWAY_UPLOAD_TIMEOUT_MS env
    Signed-URL upload timeout for large local files in milliseconds
  • RUNWAY_ALLOWED_ROOT env
    Sandbox root for local-file inputs to upload tools. Defaults to os.tmpdir().
  • RUNWAY_DOWNLOAD_ROOT env
    Sandbox root for downloaded outputs. Defaults to ~/Downloads/runway-mcp.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account mindstone, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2202 servers in this category
  • Published to the registry more recently than 88% of the other 2202 servers in this category
  • Basic checks equal to or better than 100% of the other 2202 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Runway ML safe?

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.

What keys or codes does it need?

You need to fill in: RUNWAYML_API_SECRET

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.2) reached the registry 4 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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

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Runs on your computer★ 16,165MITUpdated 5 months ago
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Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

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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.

Runs in the cloud★ 2,152Updated 13 months ago
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README from the maker

Open the README

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.

@mindstone/mcp-server-runway

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.

Status

  • Version: 0.4.2 · npm
  • Auth: API key (RUNWAYML_API_SECRET)
  • Tools: 23 (video, image, audio, voices, tasks)
  • Surface: cloud-api
  • Machine-readable: STATUS.json

Requirements

  • Node.js 20+
  • npm

One-click install

After 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" } } } }

Quick Start

Install & build
cd <path-to-repo>/connectors/runway

npm install npm run build

npx (once published)
npx -y @mindstone/mcp-server-runway
Local
node dist/index.js

Configuration

Environment variables
  • 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 management
  • MINDSTONE_REBEL_BRIDGE_STATE — backwards-compatible alias for MCP_HOST_BRIDGE_STATE
  • RUNWAY_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.

Host configuration examples

Claude Desktop / Cursor
{

"mcpServers": { "Runway": { "command": "npx", "args": ["-y", "@mindstone/mcp-server-runway"], "env": { "RUNWAYML_API_SECRET": "your-api-key" } } } }

Local development (no npm publish needed)
{

"mcpServers": { "Runway": { "command": "node", "args": [" /connectors/runway/dist/index.js"], "env": { "RUNWAYML_API_SECRET": "your-api-key" } } } }

Tools (23)

Configuration
  • configure_runway_api_key — Save your Runway API key
Video
  • generate_video_from_image — Animate a still image into a video
  • generate_video_from_text — Create a video from a text description
  • generate_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.

Image
  • generate_image — Generate an image from text, optionally with reference images
Audio
  • generate_speech — Generate spoken audio from text using ElevenLabs voices
  • generate_sound_effect — Generate sound effects from a text description
  • swap_voice — Replace the voice in an audio or video file
  • dub_audio — Translate and dub audio into a different language
  • isolate_voice — Isolate voice from background audio
Voices
  • list_custom_voices — List all custom voices you've created
  • create_custom_voice — Create a custom voice from a text description
  • preview_voice — Generate a short audio preview of a voice
  • delete_custom_voice — Delete a custom voice
Task management
  • check_runway_task — Check the status of a generation task
  • wait_for_runway_task — Wait for a task to complete (auto-poll)
  • cancel_runway_task — Cancel or delete a task
  • download_runway_output — Download a Runway output to a local file
  • upload_media — Upload a local file to Runway's ephemeral storage
Account
  • get_runway_balance — Check credit balance, tier limits, and usage
  • query_credit_usage — Query detailed credit usage by model and day

Licence

FSL-1.1-MIT — Functional Source License, Version 1.1, with MIT future licence. The software converts to MIT licence on 2030-04-08.

Host-authorized local inputs

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.

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