Official CLI for the PiAPI platform — call 101 multimodal AI models (image, video, audio, 3D, LLM) from your terminal or AI agent
Piapi MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Official CLI for the PiAPI platform — call 101 multimodal AI models (image, video, audio, 3D, LLM) from your terminal or AI agent.
piapi — one binary for 97 multimodal AI models
The server ships on npm as piapi-cli, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Once Piapi is connected, these are the calls the assistant has available:
Syntax — MeaningYou will need 2 environment variables: PIAPI_API_KEY, PIAPI_BASE_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Piapi's toolset — Syntax — is a fair guide to whether it matches your workflow. It is maintained by piapi1; 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We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.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 |
|---|---|
| Syntax | Meaning |
{
"mcpServers": {
"piapi-1": {
"command": "npx",
"args": ["-y", "piapi-cli"],
"env": {
"PIAPI_API_KEY": "your-value",
"PIAPI_BASE_URL": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| PIAPI_API_KEY | Credential the server authenticates with. | Yes |
| PIAPI_BASE_URL | Endpoint or connection string the server talks to. | Yes |
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.