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Authenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.
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io.github.runapi-builderPublished by GitHub account runapi-builderv0.1.1Updated Oct 29, 2026
RunAPI MCP server for Vidu: create tasks, poll status, check pricing.
RunAPI MCP server for the Vidu model line that lets an assistant create image-to-video and reference-to-video tasks, poll their status, and check pricing.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Follow the launch instructions in the repository.
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
@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.
Add it to Claude Code:
Use project scope when the server should be shared with a repository:
Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:
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.
Vidu covers 2 model variants across 2 endpoints. Each tool accepts the models listed for it:
Model availability can change between releases. Use check_pricing or the Vidu model page for the current catalog view.
Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.
The assistant can call check_pricing, then image_to_video, and return the task id, status, and output URLs.
The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.
The assistant calls check_pricing and can link to the Vidu model page for the canonical catalog entry.
The server resolves auth in this order:
RUNAPI_API_KEY environment variable, useful for headless and CI hosts~/.config/runapi/config.json, created by the MCP login tool or runapi logincheck_pricingThe config file is normally managed by login. A pre-provisioned headless config can use:
Do not commit real API keys.
Licensed under the Apache License, Version 2.0.
Source: README.md at commit 31827b2
Authenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.
forceCreate a Vidu task on RunAPI (image to video). Returns a task id, status, and output URLs.
waitaudiomodelprompttimeout_mscallback_urlduration_secondspoll_interval_msoutput_resolutionfirst_frame_image_urlrequiredCreate a Vidu task on RunAPI (reference to video). Returns a task id, status, and output URLs.
waitaudiomodelpromptrequiredtimeout_msaspect_ratiocallback_urlduration_secondspoll_interval_msoutput_resolutionreference_audio_urlsreference_image_urlsrequiredFetch the current status and latest result payload for a vidu task.
actionrequiredtask_idrequiredLook up RunAPI pricing for the vidu model line.
modelaction90% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
claude mcp add vidu -s user -- npx -y @runapi.ai/vidu-mcpclaude mcp add vidu -s project -- npx -y @runapi.ai/vidu-mcp{ "mcpServers": { "vidu": { "command": "npx", "args": ["-y", "@runapi.ai/vidu-mcp"] } }}Run a Vidu image to video task with RunAPI.Create the task but don't wait for it to finish.Check current Vidu pricing, then create the task if it matches my request.{ "apiKey": "your_runapi_key"}