# WavespeedMCP ## [English](README.md) ｜ [中文文档](README.zh.md) WavespeedMCP is a Model Control Protocol (MCP) server implementation for WaveSpeed AI
wavespeed-mcp on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
The server publishes 5 tools. What each one is for:
Prerequisites — The Prerequisites tool exposed by this serverSetup — The Setup tool exposed by this serverTimeouts — WavespeedMCP supports two types of timeouts. Configure them via environment variables:Requirements — The Requirements tool exposed by this serverTesting — The Testing tool exposed by this serverConfiguration is passed through the environment: WAVESPEED_API_KEY, WAVESPEED_LOG_FILE, WAVESPEED_REQUEST_TIMEOUT, WAVESPEED_WAIT_RESULT_TIMEOUT, WAVESPEED_API_HOST, WAVESPEED_MCP_BASE_PATH. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. WavespeedMCP's toolset — Prerequisites, Setup, Timeouts and 2 more — is a fair guide to whether it matches your workflow. It is maintained by WaveSpeedAI; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Setup | The Setup tool exposed by this server. |
| Timeouts | WavespeedMCP supports two types of timeouts. Configure them via environment variables: |
| Requirements | The Requirements tool exposed by this server. |
| Testing | The Testing tool exposed by this server. |
{
"mcpServers": {
"server-wavespeedai": {
"command": "uvx",
"args": ["wavespeed-mcp"],
"env": {
"WAVESPEED_API_KEY": "your-value",
"WAVESPEED_LOG_FILE": "your-value",
"WAVESPEED_REQUEST_TIMEOUT": "your-value",
"WAVESPEED_WAIT_RESULT_TIMEOUT": "your-value",
"WAVESPEED_API_HOST": "your-value",
"WAVESPEED_MCP_BASE_PATH": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| WAVESPEED_API_KEY | Credential the server authenticates with. | Yes |
| WAVESPEED_LOG_FILE | Configuration value read at startup. | Optional |
| WAVESPEED_REQUEST_TIMEOUT | Configuration value read at startup. | Optional |
| WAVESPEED_WAIT_RESULT_TIMEOUT | Configuration value read at startup. | Optional |
| WAVESPEED_API_HOST | Endpoint or connection string the server talks to. | Optional |
| WAVESPEED_MCP_BASE_PATH | Filesystem location the server is allowed to use. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.