Deploy runs on your own machine — the client starts it, so there is no endpoint to ping. 45 installs a week from npm. Last commit 6 Jul 2026.
Deploy any app to any cloud. 20 tools for deployments, previews, and management.
We read the source, 18 h ago · rules 3dff92dd89df
Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.
buildOutput = execSync(config.build.command, { cwd: dir, stdio: 'pipe', env: { ...process.env, NODE_ENV: 'production' } }).toString();
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
buildOutput = execSync(config.build.command, { cwd: dir, stdio: 'pipe', env: { ...process.env, NODE_ENV: 'production' } }).toString();
import { readFileSync, existsSync, writeFileSync, mkdirSync, readdirSync } from 'node:fs';
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch Deploy and you get told the day something new turns up.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add deploy -- npx -y @nometria-ai/claude-code
{
"mcpServers": {
"deploy": {
"args": [
"-y",
"@nometria-ai/claude-code"
],
"command": "npx"
}
}
}
[mcp_servers.deploy]
command = "npx"
args = ["-y", "@nometria-ai/claude-code"]
{
"mcpServers": {
"deploy": {
"args": [
"-y",
"@nometria-ai/claude-code"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"deploy": {
"args": [
"-y",
"@nometria-ai/claude-code"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
NOMETRIA_API_KEY (Your Nometria API key (get one at https://ownmy.app/settings/api-keys)).
The author declared them in the registry entry; get the values from the project itself.
Run AI models, create deployments, and manage predictions via cloud API
Deploy, pay for and manage apps on Flux Cloud, the decentralized cloud. Prices in USD.
Devopness MCP server for DevOps happiness! Empower AI Agents to deploy apps and infra, to any cloud.
Deploy and manage Bult apps from AI coding agents.
Cloud replacement for mcp-server-filesystem — 20 tools for S3, Azure Blob, and GCS
MCP server for Vercel — manage deployments and view build and runtime application logs.
Crypto trading backtesting, bot deployment, AI strategy, and account management for Sentinel Bot.
Deploy web apps via AI agents with sota.io. 9 tools for deploy, logs, env, and more.
Answers built from our own checks of this server.