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ClaudeWave

WaveSpeed MCP server — run any model on the live catalog (image, video, audio, 3D) with schema introspection, @path file upload, and price quotes

MCP ServersOfficial Registry30 stars8 forksTypeScriptMITUpdated today
ClaudeWave Trust Score
100/100
Verified
Passed
  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Clear description
  • Topics declared
  • Mature repo (>1y old)
  • Documented (README)
Last scanned: 8/19/2026
Install in Claude Code / Claude Desktop
Method: NPX · @wavespeed/mcp
Claude Code CLI
claude mcp add mcp-server -- npx -y @wavespeed/mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "mcp-server": {
      "command": "npx",
      "args": ["-y", "@wavespeed/mcp"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Use cases

MCP Servers overview

<div align="center">
  <a href="https://wavespeed.ai" target="_blank">
    <picture>
      <source media="(prefers-color-scheme: dark)" srcset="assets/wavespeed-logo-dark.svg">
      <img src="assets/wavespeed-logo-light.svg" alt="WaveSpeed" width="342" height="48"/>
    </picture>
  </a>
</div>

# WaveSpeed MCP Server

[中文](README.zh.md)

<!-- mcp-name: ai.wavespeed/mcp -->

An MCP server for the [WaveSpeed](https://wavespeed.ai) 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`](https://github.com/WaveSpeedAI/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](https://wavespeed.ai/accesskey).

**Claude Code**

```bash
claude mcp add wavespeed -- npx -y @wavespeed/mcp
```

**Claude Desktop / other clients** (`mcpServers` config):

```json
{
  "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

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

## License

[MIT](LICENSE)
ai-image-generationai-video-generationmcpmcp-servermodel-context-protocolwavespeed

What people ask about mcp-server

What is WaveSpeedAI/mcp-server?

+

WaveSpeedAI/mcp-server is mcp servers for the Claude AI ecosystem. WaveSpeed MCP server — run any model on the live catalog (image, video, audio, 3D) with schema introspection, @path file upload, and price quotes It has 30 GitHub stars and its last recorded update is dated 2026-08-19.

How do I install mcp-server?

+

You can install mcp-server by cloning the repository (https://github.com/WaveSpeedAI/mcp-server) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is WaveSpeedAI/mcp-server safe to use?

+

Our security agent has analyzed WaveSpeedAI/mcp-server and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains WaveSpeedAI/mcp-server?

+

WaveSpeedAI/mcp-server is maintained by WaveSpeedAI. The last recorded GitHub activity is dated 2026-08-19, with 3 open issues.

Are there alternatives to mcp-server?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy mcp-server to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

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