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ai.wavespeed/mcp

Run any model on the live WaveSpeed catalog: image, video, audio, 3D.

Links

README

From the repo.

WaveSpeed MCP Server

Add wavespeed MCP server to Cursor

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

ToolWhat it does
list_modelsSearch the live catalog by text or modality type
get_model_schemaA model's real input schema (required, properties, defaults)
run_modelSubmit + wait; @path inputs upload automatically; returns output URLs
get_priceCost estimate with unpriced_inputs / at_base_price disclosure
get_balanceAccount credit balance
upload_fileLocal file → hosted URL (24h content-hash dedupe)
get_predictionRecover status/outputs of any run by id

If run_model hits its wait limit the task keeps running server-side — the error names the prediction id, and get_prediction picks it up.

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


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

Config for your environment

Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). No API key — you connect directly.

Tool

OS

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "{MCP_ENDPOINT_URL}"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.