How do I install Hardware?

Hardware is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

Is Hardware safe to use?

Yes. Hardware passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Hardware?

Hardware uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

Back to Browse

Hardware MCP Server

by Saadvz

Developer ToolsLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

Find MCP servers for ESP32, Arduino, 3D printers, Home Assistant, cameras and other hardware.

About

Find MCP servers for ESP32, Arduino, 3D printers, Home Assistant, cameras and other hardware.

Remote endpoints: streamable-http: https://hardwaremcp.khanex.ai/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

4 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Found in Source Code

Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.

network_websocket

Applies to the server that hosts this plugin, not to your machine.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-saadvz-hardwaremcp": {
      "url": "https://hardwaremcp.khanex.ai/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

hardwaremcp

Remote endpoint: https://hardwaremcp.khanex.ai/mcp. Paste it into any MCP client: no install, no API key.

Ask your agent "which MCP server should I use for my Bambu P1S?" and it gets the right server, install commands and client config from the HardwareMCP catalog.

An MCP server that helps your AI agent find MCP servers for physical hardware: ESP32, Arduino, Raspberry Pi, RP2040, 3D printers (Bambu, Prusa, Klipper, OctoPrint), Home Assistant, cameras (Frigate, UniFi Protect, ONVIF), Zigbee, serial/BLE and lab gear.

It's a thin layer over the HardwareMCP catalog: 59 servers with install commands and client configs copied from their READMEs.

Tools

Tool	What it does
`search_servers(query, device?, category?)`	Search the catalog. Results sorted by GitHub stars.
`get_server(slug)`	Full details: what it does, requirements, install commands, client config snippet.
`list_devices()`	Every device family with server counts.
`recommend_for_device(device, goal?)`	Top picks for a device or model (e.g. "Bambu P1S", "Voron", "ESP32-S3"), optionally ranked by a goal.

Use the hosted server (no install)

Endpoint: https://hardwaremcp.khanex.ai/mcp (Streamable HTTP, stateless, no auth, CORS open, JSON responses). POST handles JSON-RPC, OPTIONS returns 204 with CORS headers, and GET/DELETE return 405 because there are no sessions or server-initiated streams.

Claude Code

claude mcp add --transport http hardwaremcp https://hardwaremcp.khanex.ai/mcp

Cursor (~/.cursor/mcp.json)

{ "mcpServers": { "hardwaremcp": { "url": "https://hardwaremcp.khanex.ai/mcp" } } }

Claude Desktop (claude_desktop_config.json)

{ "mcpServers": { "hardwaremcp": { "command": "npx", "args": ["-y", "mcp-remote", "https://hardwaremcp.khanex.ai/mcp"] } } }

Grok Bot (desktop app): there's no settings field for MCP URLs. In a Bot chat, send:

Add a custom MCP server named hardwaremcp at https://hardwaremcp.khanex.ai/mcp

Confirm when asked (no sign-in needed), then type @ and pick hardwaremcp. (Cursor forum answer)

Muse (Meta): ask Muse in chat to create a Custom Connector (Meta Help Center):

Create a Custom Connector for a new remote MCP server, then connect to it:
- Name: hardwaremcp
- Transport: remote streamable HTTP
- URL: https://hardwaremcp.khanex.ai/mcp
- Auth: none (public, no API key or OAuth)
Then list its tools and call list_devices to confirm it works.

Run locally (stdio)

npx -y hardwaremcp   # once published to npm

{ "mcpServers": { "hardwaremcp": { "command": "npx", "args": ["-y", "hardwaremcp"] } } }

Develop

npm install
npm run gen-data      # regenerate src/data.ts from ../hardwaremcp/data/servers.json
npm run build
npm test              # scripted client over stdio
node test-client.mjs https://hardwaremcp.khanex.ai/mcp   # against the live endpoint

Caveat

Install commands come from each project's README and haven't been bench-tested by HardwareMCP. Review code before giving an agent access to your hardware.

License

MIT

Listed in

Official MCP Registry as io.github.saadvz/hardwaremcp
Glama, via glama.json

Reviews

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