runway-mcp
Enables creating and managing Runway video generation tasks (text-to-video, video extension) through a single RunAPI key, including task polling and pricing checks.
README
<h1 align="center">RunAPI Runway MCP Server</h1>
<p align="center"> <strong>Runway API access for AI agents: create video generation tasks, poll results, and check pricing through one focused MCP server.</strong> </p>
<p align="center"> <sub>Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.</sub> </p>
<p align="center"> <a href="https://www.npmjs.com/package/@runapi.ai/runway-mcp"><img src="https://img.shields.io/npm/v/%40runapi.ai/runway-mcp?style=flat-square&color=blue" alt="npm version"></a> <a href="https://github.com/runapi-ai/runway-mcp"><img src="https://img.shields.io/badge/GitHub-runapi--ai%2Frunway--mcp-24292f?style=flat-square" alt="GitHub repository"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/License-Apache_2.0-blue?style=flat-square" alt="Apache-2.0 license"></a> <img src="https://img.shields.io/badge/Type-MCP_Server-blue?style=flat-square" alt="MCP Server"> <img src="https://img.shields.io/badge/Models-1-16a34a?style=flat-square" alt="1 models"> </p>
<p align="center"> <a href="#install">Install</a> | <a href="#tools">Tools</a> | <a href="#models">Models</a> | <a href="#agent-prompts">Agent Prompts</a> | <a href="#configuration">Configuration</a> | <a href="#links">Links</a> </p>
Why This Package?
@runapi.ai/runway-mcp is a focused Model Context Protocol server for the Runway model line on RunAPI.
It gives MCP-compatible assistants direct access to 2 endpoints and 1 model variant without loading the full RunAPI catalog.
Use this per-model server when an agent should stay scoped to Runway. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.
Install
Add it to Claude Code:
claude mcp add runway -s user -- npx -y @runapi.ai/runway-mcp
Use project scope when the server should be shared with a repository:
claude mcp add runway -s project -- npx -y @runapi.ai/runway-mcp
Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:
{
"mcpServers": {
"runway": {
"command": "npx",
"args": ["-y", "@runapi.ai/runway-mcp"],
"env": { "RUNAPI_API_KEY": "${RUNAPI_API_KEY}" }
}
}
}
Create an API key at runapi.ai and expose it as RUNAPI_API_KEY. check_pricing can run without a key; task creation and status polling require one.
Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.
Tools
| Tool | Auth | Purpose |
|---|---|---|
extend_video |
Yes | Create a Runway extend video task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot. |
text_to_video |
Yes | Create a Runway text to video task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot. |
get_task |
Yes | Fetch the current status and latest payload for an existing task. |
check_pricing |
No | Look up the current pricing snapshot for a Runway model and endpoint. |
Models
Runway covers 1 model variant across 2 endpoints. Each tool accepts the models listed for it:
| Tool | Models |
|---|---|
extend_video |
runway |
text_to_video |
runway |
Model availability can change between releases. Use check_pricing or the Runway model page for the current catalog view.
Agent Prompts
Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.
Create a task
Run a Runway extend video task with RunAPI.
The assistant can call check_pricing, then extend_video, and return the task id, status, and output URLs.
Submit without waiting
Create the task but don't wait for it to finish.
The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.
Check pricing before creating
Check current Runway pricing, then create the task if it matches my request.
The assistant calls check_pricing and can link to the Runway model page for the canonical catalog entry.
Configuration
The server reads the API key in this order:
RUNAPI_API_KEYenvironment variable~/.config/runapi/config.json
Example config file:
{
"apiKey": "your_runapi_key"
}
Do not commit real API keys. Get one at runapi.ai.
Links
| Resource | URL |
|---|---|
| Runway model page | https://runapi.ai/models/runway |
| npm package | @runapi.ai/runway-mcp |
| GitHub repository | runapi-ai/runway-mcp |
| RunAPI MCP overview | runapi.ai/mcp |
| RunAPI docs | runapi.ai/docs |
License
Licensed under the Apache License, Version 2.0.
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