Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Connect AI agents to IoT devices — read sensors, send commands, manage ESP32 fleets.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
JETTYD_API_KEY, JETTYD_BASE_URLValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"jettyd": {
"command": "npx",
"args": [
"-y",
"@jettyd/mcp"
],
"env": {
"JETTYD_API_KEY": "your-value",
"JETTYD_BASE_URL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add jettyd --env JETTYD_API_KEY=your-value --env JETTYD_BASE_URL=your-value -- npx -y @jettyd/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"jettyd": {
"command": "npx",
"args": [
"-y",
"@jettyd/mcp"
],
"env": {
"JETTYD_API_KEY": "your-value",
"JETTYD_BASE_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"jettyd": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@jettyd/mcp"
],
"env": {
"JETTYD_API_KEY": "your-value",
"JETTYD_BASE_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
JETTYD_BASE_URL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified against the domain jettyd.com (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: JETTYD_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Recta
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
MCP server for jettyd — gives AI agents direct access to IoT devices.
Connect Claude Desktop, Cursor, Continue, or any MCP-compatible client to your ESP32 devices.
npx @jettyd/mcp
Or globally:
npm install -g @jettyd/mcp
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "jettyd": { "command": "npx", "args": ["@jettyd/mcp"], "env": { "JETTYD_API_KEY": "your-api-key-here" } } } }
Add to your MCP config:
{
"jettyd": { "command": "npx @jettyd/mcp", "env": { "JETTYD_API_KEY": "your-api-key" } } }
| Tool | Description |
|---|---|
list_devices | List all devices with status |
read_device | Get current sensor readings |
send_command | Send command to device (relay, LED, etc.) |
get_telemetry | Historical sensor readings |
push_rules | Push JettyScript automation rules |
"What's the temperature in the greenhouse?"
→ Calls
read_device, reads shadow, returns current temperature
"Turn on the irrigation relay for 30 seconds"
→ Calls
send_commandwithrelay.onand{duration: 30000}
"Alert me if temperature goes above 30°C"
→ Calls
push_ruleswith a threshold rule
"Show me the humidity trend for the last 24 hours"
→ Calls
get_telemetrywith metric=air.humidity, period=24h
Sign up at jettyd.com and get your API key from the dashboard.
New to jettyd? The OpenClaw Blueprint walks through the complete setup in 6 steps — hardware, platform, OpenClaw connection, sensors, automations, and dashboard.
github.com/jettydiot/jettyd-mcp
MIT licence