mcpField
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vidu-mcp

vidu-mcp

Local
github.com/runapi-aiMedia & Design0Updated 1w ago

About vidu-mcp

vidu-mcp is a RunAPI MCP server for the Vidu model line, intended for users who need to launch video generation through an AI agent. It focuses on two video-generation endpoints and provides task status and pricing checks.

Key features

  1. 01Create image-to-video tasks
  2. 02Create reference-to-video tasks
  3. 03Check task status and output URLs
  4. 04Look up model and endpoint pricing
  5. 05Keep tools scoped to Vidu

Use cases

  1. 01Generate a Vidu video from an image
  2. 02Create a video task from reference material
  3. 03Check an asynchronous task later
  4. 04Review pricing before creating a task

MCP support

The server exposes RunAPI Vidu generation, task-status, and pricing tools to compatible MCP clients. Task creation and status checks require login; pricing checks do not.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"runapi-builder-vidu": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/vidu-mcp"
],
"env": {
"RUNAPI_API_KEY": "<RUNAPI_API_KEY>"
}
}
}
}
Run commandnpx -y @runapi.ai/vidu-mcp
Environment variables to set
RUNAPI_API_KEYSecretOptional RunAPI API key for headless hosts. Interactive MCP hosts can use the login tool, which writes shared RunAPI config.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@runapi.ai/vidu-mcp0.1.1

Tools

5

Saved tool list · updated 1w ago

ParameterTypeRequiredDescription
forcebooleanNoRe-run browser login when the current credential comes from the local config file.

Details

From the project README

RunAPI Vidu MCP Server

Vidu API access for AI agents: run video generation operations, poll asynchronous results, and check pricing through one focused MCP server.

Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.

npm version GitHub repository Apache-2.0 license MCP Server 2 models

Install | Tools | Models | Agent Prompts | Configuration | Links


Why This Package?

@runapi.ai/vidu-mcp is a focused Model Context Protocol server for the Vidu model line on RunAPI. It gives MCP-compatible assistants direct access to 2 endpoints and 2 model variants without loading the full RunAPI catalog.

Use this per-model server when an agent should stay scoped to Vidu. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.


Install

Add it to Claude Code:

claude mcp add vidu -s user -- npx -y @runapi.ai/vidu-mcp

Use project scope when the server should be shared with a repository:

claude mcp add vidu -s project -- npx -y @runapi.ai/vidu-mcp

Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:

{
  "mcpServers": {
    "vidu": {
      "command": "npx",
      "args": ["-y", "@runapi.ai/vidu-mcp"]
    }
  }
}

check_pricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login. Headless and CI hosts can still set RUNAPI_API_KEY before starting the MCP host.

Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.


Tools

ToolAuthPurpose
image_to_videoYesCreate a Vidu image to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
reference_to_videoYesCreate a Vidu reference to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
get_taskYesFetch the current status and latest payload for an existing task.
check_pricingNoLook up current pricing for a Vidu model and endpoint.

Models

Vidu covers 2 model variants across 2 endpoints. Each tool accepts the models listed for it:

ToolModels
image_to_videovidu-q4-image-to-video
reference_to_videovidu-q4-reference-to-video

Model availability can change between releases. Use check_pricing or the Vidu 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 Vidu image to video task with RunAPI.

The assistant can call check_pricing, then image_to_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 Vidu pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the Vidu model page for the canonical catalog entry.


Configuration

The server resolves auth in this order:

  1. RUNAPI_API_KEY environment variable, useful for headless and CI hosts
  2. ~/.config/runapi/config.json, created by the MCP login tool or runapi login
  3. No key, which still allows check_pricing

The config file is normally managed by login. A pre-provisioned headless config can use:

{
  "apiKey": "your_runapi_key"
}

Do not commit real API keys.


Links

ResourceURL
Vidu model pagehttps://runapi.ai/models/vidu
npm package@runapi.ai/vidu-mcp
GitHub repositoryrunapi-ai/vidu-mcp
RunAPI MCP overviewrunapi.ai/mcp
RunAPI docsrunapi.ai/docs

License

Licensed under the Apache License, Version 2.0.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.