WaveSpeed

WaveSpeed MCP Server

An MCP server for the WaveSpeed platform: run any model on the live catalog — image, video, audio, 3D — from Claude Code, Claude Desktop, Cursor, Cline, or any MCP client.

Built on the same design as the open-source @wavespeed/cli:

• No hardcoded models for `run_model`. The catalog comes from the live API (1h cache); new platform models work the day they ship.
• One general verb, five shortcuts. run_model executes anything; get_model_schema tells the agent what inputs a model actually accepts, so it reads before it writes. generate_image, edit_image, generate_video, edit_video and extend_video skip that: they use the same models as the WaveSpeed /chat page, pick the endpoint for what you give them and fit the request to its live schema.
• Inputs are never mutated. The one explicit transform is the @path marker — a "@./photo.jpg" value inside input uploads the file and substitutes its hosted URL. Bare paths are passed through untouched. The shortcut tools (generate_image etc.) are the exception: they pick the endpoint and fit the request to the model, and report what they changed in notes.
• Quote before you spend. get_price takes the same input as run_model and returns an estimate; the amount actually charged for a run is authoritative.

Tools

The five shortcut tools take wait_seconds like run_model, and estimate_only: true returns the price and the exact request that would run without submitting or charging anything. In their prompts, media is named @image 1, @video 1, @audio 1 (in the order given); it is renamed to what each model expects. Models and defaults follow /chat: an unknown model is rejected, and a named model is never switched.

Some generations take minutes to hours. run_model submits the run and returns the prediction id right away (done: false); the assistant then calls get_prediction with that id and wait_seconds (max 1800) until done is true. The task keeps running server-side, so a dropped connection loses nothing. Pass wait_seconds to run_model to wait for a quick model in the same call. While waiting, both tools send MCP progress notifications that carry the prediction id.

Setup

Remote (nothing to install)

The same server is hosted at:

https://api.wavespeed.ai/mcp

• Claude on the web / ChatGPT: add a custom connector with that address and approve the connection on the WaveSpeed page that opens. Approving creates a dedicated API key (named MCP · ) that you can delete on the API Keys page to disconnect.
• Claude Code: claude mcp add --transport http wavespeed https://api.wavespeed.ai/mcp
• Cursor:

• VS Code: code --add-mcp '{"name":"wavespeed","type":"http","url":"https://api.wavespeed.ai/mcp"}'
• Clients that only start local commands: connect through mcp-remote, which opens the same browser approval on first start:

  {

"mcpServers": { "wavespeed": { "command": "npx", "args": ["-y", "mcp-remote", "https://api.wavespeed.ai/mcp"] } } }

• Any other client that sends request headers: point it at the URL with Authorization: Bearer .

The hosted server has the same tools, with one difference for files: it cannot read files on your computer, so pass public URLs, use create_upload from a tool that can send HTTP requests (it returns a temporary upload address and the download_url to use as an input), or, in ChatGPT, attach the file to the chat (the upload_attachment tool, which only ChatGPT can fill, imports it and returns a download_url). Full guide: wavespeed.ai/docs/mcp.

Local (npx)

@latest makes npx fetch the newest release on each start; without it, npx runs a globally installed @wavespeed/mcp if one exists, however old.

Auth resolves from WAVESPEED_API_KEY, or from the CLI's stored login (wavespeed login) — one login covers both tools. Keys: wavespeed.ai/accesskey.

Claude Code

claude mcp add wavespeed -- npx -y @wavespeed/mcp@latest

Claude Desktop / other clients (mcpServers config):

{

"mcpServers": { "wavespeed": { "command": "npx", "args": ["-y", "@wavespeed/mcp@latest"], "env": { "WAVESPEED_API_KEY": "wsk_..." } } } }

Example prompts

• *"Generate a 16:9 hero image of a cyberpunk skyline at golden hour."*
• *"Take ./photo.jpg and replace the background with a sunlit kitchen."* (the agent passes "@./photo.jpg")
• *"Animate ./hero.png with subtle parallax — check the price first."*

Development

npm install

npm run dev # run from source (stdio) npm run lint # typecheck npm run build # tsc → dist/

License

MIT

[WaveSpeed AI](https://wavespeed.ai/) — AI image & video generation platform. Try it in the browser: [Image generator](https://wavespeed.ai/image-generator) · [Video generator](https://wavespeed.ai/video-generator)