Koskamo

WaveSpeed MCP

The WaveSpeed MCP server enables AI tools to interact with the WaveSpeed platform by searching its live model catalog, retrieving model schemas, checking pricing, and executing generation tasks for images, video, audio, and 3D content. It supports authentication via OAuth or API keys and handles file uploads for model inputs.

Visit WaveSpeedAI

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

WaveSpeed MCP logo, by WaveSpeedAIVendor evidenceStreamable HTTPOAuth sign-inEndpoint checked 2026-10-26Operated by WaveSpeedAI
You need:Sign in OAuth in your browser, or an API key header WAVESPEED_API_KEY , or wavespeed loginCustom MCP servers are available on selected ChatGPT plans, and a workspace can limit who may add them.On Team and Enterprise plans an owner adds the connector in Organization settings → Connectors , and each member then connects individually.list_billings or get_usage is refused They need an API key with Billing access.
MCP endpoint (Streamable HTTP)
https://api.wavespeed.ai/mcp
Vendor documentation

What you can do with it

  • Search the live model catalog by text or type
  • Run image, video, audio, and 3D generation models
  • Check model prices and account credit balance
  • Upload files and manage model input attachments

Source and maintenance

Vendor evidenceRegistry 1.2.2MIT
mcp-registry: ai.wavespeed/mcp@1.2.2Source repositoryProject website
Last repository push
Maintenance checked

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool definitions available.

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · repository · passed · metadata changed · updated
  • · repository · passed · metadata changed · updated
  • · registry · passed · metadata changed · Source metadata updated
  • · backfill · recorded · Pre-expansion baseline; unobserved rich metadata remains unknown

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http wavespeed-mcp https://api.wavespeed.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add wavespeed-mcp --url https://api.wavespeed.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable wavespeed-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "wavespeed-mcp": {
      "url": "https://api.wavespeed.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "wavespeed-mcp": {
      "type": "streamableHttp",
      "url": "https://api.wavespeed.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start wavespeed-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "wavespeed-mcp": {
      "type": "http",
      "url": "https://api.wavespeed.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http wavespeed-mcp https://api.wavespeed.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.
Claude Desktop configuration
{
  "mcpServers": {
    "wavespeed-mcp": {
      "url": "https://api.wavespeed.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "wavespeed-mcp": {
      "serverUrl": "https://api.wavespeed.ai/mcp"
    }
  }
}

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