This guide will walk you through the process of setting up and using the LetzAI MCP (Model Context Protocol) for image generation.
This guide will walk you through the process of setting up and using the LetzAI MCP (Model Context Protocol) for image generation. Exposed over MCP by the letzai mcp mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Everything the assistant can do here goes through one of these:
command — The command to run the application. We use node to run the JavaScript file generated by TypeScriptargs — This is the path to the compiled index.js file. Make sure the path is correct according to where your files are located after compilation. If you'veYou will need one environment variable: LETZAI_API_KEY. 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.
Before you begin, ensure that you have the following: - Node.js installed on your system. You can download it from Node.js official site. - Claude Desktop App installed. If you don't have it, download it from Claude Desktop App. - LetzAI API Key. You can obtain it by visiting LetzAI API.
The server ships on npm as tsc, 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.
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. Letzai MCP's toolset — command, args — is a fair guide to whether it matches your workflow. It is maintained by Letz-AI; 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We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.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 |
|---|---|
| command | The command to run the application. We use node to run the JavaScript file generated by TypeScript. |
| args | This is the path to the compiled index.js file. Make sure the path is correct according to where your files are located after compilation. If you've placed the folder at C:\\Users\\username\\desktop\\letzai-mcp, the path |
#### Ubuntu Configuration:
```json
{
"mcpServers": {
"letzai": {
"command": "node",
"args": ["/ABSOLUTE/PATH/TO/PARENT/FOLDER/letzai-mcp/build/index.js"],
"env": {
"LETZAI_API_KEY": "<Your LetzAI API Key>"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
Before you begin, ensure that you have the following: - Node.js installed on your system. You can download it from Node.js official site. - Claude Desktop App installed. If you don't have it, download it from Claude Desktop App. - LetzAI API Key. You can obtain it by visiting LetzAI API.
| Variable | Description | Required |
|---|---|---|
| LETZAI_API_KEY | Credential the server authenticates with. | 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.