mcp

Name: mcp
Author: WaveSpeedAI

Unexplored

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

WaveSpeedAI30 stars9 forksAI & Agents

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Install

Terminal

$npx -y @wavespeed/mcp

mcp_config.json

{
  "mcpServers": {
    "ai-wavespeed-mcp": {
      "env": {
        "WAVESPEED_API_KEY": "${WAVESPEED_API_KEY}",
        "WAVESPEED_BASE_URL": "${WAVESPEED_BASE_URL}",
        "WAVESPEED_CLIENT_NAME": "${WAVESPEED_CLIENT_NAME}"
      },
      "args": [
        "-y",
        "@wavespeed/mcp"
      ],
      "command": "npx"
    }
  }
}

Documentation

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; `@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`	Recover 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

Sourced from the repository README.

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