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. The catalog comes from the live API (1h cache); new platform models work the day they ship.
• One generation verb. run_model executes anything; get_model_schema tells the agent what inputs a model actually accepts, so it reads before it writes.
• 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.
• Honest pricing. get_price quotes before you spend and names the inputs the quote was blind to (unpriced_inputs) instead of presenting a formula's floor as "the" price.

Tools

Tool	What it does
list_models	Search the live catalog by text or modality type
get_model_schema	A model's real input schema (required, properties, defaults)
run_model	Submit + wait; rejects input keys the model doesn't accept; @path inputs upload automatically; returns output URLs
get_price	Cost estimate with unpriced_inputs / at_base_price disclosure
get_balance	Account credit balance
upload_file	Local file → hosted URL (24h content-hash dedupe)
get_prediction	Status/outputs of any run by id; optional wait_seconds to wait for it

Some generations take minutes to hours. run_model waits up to wait_seconds (default 50, max 1800) and then returns done: false with the prediction id — the task keeps running server-side, and get_prediction picks it up. While waiting, both tools send MCP progress notifications that carry the prediction id.

Setup

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

Claude Desktop / other clients (mcpServers config):

{
  "mcpServers": {
    "wavespeed": {
      "command": "npx",
      "args": ["-y", "@wavespeed/mcp"],
      "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

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WaveSpeed AI — AI image & video generation platform. Try it in the browser: Image generator · Video generator