kilo-mcp
Public metadata and setup guide for the Kilo IoT MCP server — connect AI clients to a live IoT deployment
Documentation
Kilo IoT Platform MCP Server
Connect an AI client to a live IoT deployment and let it work the real thing: read devices, provision
hardware, deploy automation rules, work the alarm queue, and send commands to physical equipment.
The server is hosted by Kilo IoT — there is nothing to install and no API key to
mint. You sign in with your usual Kilo account in the browser, and the connection carries your own
permissions.
https://mcp-auth.kiloiot.io/mcpThis repository holds the public metadata for that server: its registry manifest, its icon, and the
setup instructions below. The service itself is closed-source.
What is the Model Context Protocol?
MCP is an open standard that lets an AI client discover and call
tools on a remote server. Because it is a standard rather than a per-vendor integration, any MCP
client can connect — Claude Code, Claude Desktop, ChatGPT, Codex, Cursor and others — over Streamable
HTTP.
What can an AI agent do with the Kilo MCP server?
| Area | What the connected client can do |
|---|---|
| Devices | List and inspect devices, read telemetry and diagnostics, provision LoRaWAN devices, MQTT devices and GPS trackers, manage device profiles |
| Commands | List the commands a device supports, send one, and check how it completed — this is where the assistant acts on physical equipment |
| Connectors | Review connectors, create connections for a device to report through |
| Rules | Review rules, generate and deploy automation, simulate logic against real sensor values before it reaches production, stop a running rule, read execution history |
| Alarms | List and resolve alarms, summarize activity for a shift or a site, manage alarm rules and notification channels, send a test notification |
| Dashboards | List dashboards and query the data behind any widget |
| Sensors | Inspect and change sensor mappings, manage sensor templates |
| Organization | Read organization details, list teams, invite users, assign roles |
Every tool is annotated, so a client knows which ones only read and which ones change something.
Read-only tools run without interrupting you; anything destructive asks first.
How do I connect Claude Code to Kilo?
claude mcp add --transport http kilo https://mcp-auth.kiloiot.io/mcpThen run `/mcp` inside Claude Code, pick `kilo`, and authorize in the browser window that opens. Run
`/mcp` again to confirm it reports connected.
How do I connect Claude Desktop, ChatGPT, Cursor or Codex?
Clients with a connector dialog — Claude Desktop, ChatGPT, Cursor — take the URL directly: open
Settings → Connectors (or Integrations / MCP servers), choose Add custom connector, paste
`https://mcp-auth.kiloiot.io/mcp`, and authorize in the browser.
Clients configured from a file or a terminal, such as Codex, register the same URL as a **Streamable
HTTP** server. Your client's own documentation says where its MCP settings live; nothing about this
endpoint is client-specific.
Which organization does the connection see?
By default, whichever organization is currently selected in the Kilo web app. Switch organizations
there and reconnect the client to follow it.
To pin a client to one organization regardless of what is selected in the web app:
https://mcp-auth.kiloiot.io/o/{organizationId}/mcpThe organization ID comes from the web app. Pinning is worth doing for a workstation that must always
operate against one production organization — and it cannot be moved by a stray click in the
organization switcher. Requests for an organization you are not a member of are refused.
Is it safe to give an AI agent access to my IoT devices?
- You sign in, not a service account. Authorization happens in your browser against your normal
Kilo account. No key is generated, copied or stored for the connection.
- Your permissions are the ceiling. The client can only do what your account can do. If you cannot
deploy a rule or invite a user, neither can it.
- Organization boundaries hold, on the default endpoint and the pinned one alike.
- Actions keep their normal records. Rule changes and executions appear in rule history, device
commands in command execution history, and access changes in the Audit Trail.
Treat an authorized client like a signed-in session: it belongs on machines you control.
MCP server vs REST API — which should I use?
The Public REST API is for programs you write: a sync
job, a reporting pipeline, a bridge to another system. It authenticates with a scoped API key that
runs unattended. MCP is for an AI client acting on your behalf, authorized by your own sign-in. If you
are writing code, use REST. If you are working with an assistant, use MCP.
Links
- Platform: kiloiot.io · Kilo IoT Platform
- Documentation: docs.kiloiot.io — MCP Server
- Support: kiloiot.io/contact
- Privacy policy: kiloiot.io/privacy-policy · Terms: kiloiot.io/terms-of-service
Start free at kiloiot.io.
Frequently asked questions
What is kilo-mcp?
kilo-mcp is Public metadata and setup guide for the Kilo IoT MCP server — connect AI clients to a live IoT deployment
How do I install kilo-mcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is kilo-mcp open source?
Yes — it is hosted on GitHub at https://github.com/Kiloiot/kilo-mcp.
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