Iru (formerly Kandji) MCP connector
The Iru (formerly Kandji) connector brings your Apple device fleet, installed apps, library items, blueprints and users into Claude, ChatGPT, Cursor, Microsoft Copilot and any MCP client, so your team can ask about and update devices while every call stays inside their own Iru access.
- Connects with an API key
- Free 14-day trial
- No credit card
List all Iru devices missing their assigned blueprint.
Working in Iru (formerly Kandji) with Elaichi
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List all Iru (formerly Kandji) devices
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Get single Iru (formerly Kandji) device by ID
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List all Iru (formerly Kandji) device apps
How to connect Iru (formerly Kandji) to Claude, ChatGPT, Cursor or Microsoft Copilot
Step by step, for each AI app
Iru (formerly Kandji) MCP connector for Claude
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1
Open Customize, then Connectors.
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2
Press Add.
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3
Name it, paste the MCP server URL, then Continue.
https://api.elaichi.ai/mcp -
4
Sign in and approve.
On Team and Enterprise, an Owner adds it once. Everyone else turns it on for themselves.
Iru (formerly Kandji) MCP connector for Claude Code
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1
In a terminal, run
claude mcp addwith the endpoint.https://api.elaichi.ai/mcp -
2
Start Claude Code and run
/mcp. -
3
Pick elaichi, then sign in and approve in the browser.
Terminal
$ claude mcp add --transport http elaichi --scope user https://api.elaichi.ai/mcp
Use --scope project instead to share it with the repository through .mcp.json.
Iru (formerly Kandji) MCP connector for ChatGPT
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1
Open Plugins, then press the + button.
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2
Name it and paste the endpoint into Server URL.
https://api.elaichi.ai/mcp -
3
Leave Authentication on OAuth, then tick the risk acknowledgement.
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4
Press Create, then sign in and approve.
Works on the web. The plugin directory lives at chatgpt.com/plugins.
Iru (formerly Kandji) MCP connector for Cursor
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1
Open
~/.cursor/mcp.json. -
2
Add the endpoint under
mcpServers.https://api.elaichi.ai/mcp -
3
Reload Cursor, then sign in and approve.
~/.cursor/mcp.json
{
"mcpServers": {
"elaichi": {
"url": "https://api.elaichi.ai/mcp"
}
}
}
Set up per machine, so repeat it on each computer you work from.
Iru (formerly Kandji) MCP connector for Microsoft Copilot
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1
In Copilot Studio, open your agent, then Tools, Add a tool, New tool and Model Context Protocol.
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2
Paste the endpoint into Server URL, choose OAuth 2.0, then Dynamic discovery, and press Create.
https://api.elaichi.ai/mcp -
3
Create a new connection, sign in and approve, then press Add to agent.
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4
Under Channels, open Teams and Microsoft Copilot and make the agent available in Microsoft Copilot.
- Server URL
- https://api.elaichi.ai/mcp
- Authentication
- OAuth 2.0
- Type
- Dynamic discovery
Microsoft Copilot was called Microsoft 365 Copilot. Keep the tool on end-user credentials, so each person signs in as themselves.
Connect Iru (formerly Kandji) to any MCP client
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1
Add the endpoint as a remote MCP server.
https://api.elaichi.ai/mcp -
2
Sign in and approve.
{
"mcpServers": {
"elaichi": {
"url": "https://api.elaichi.ai/mcp"
}
}
}
The Elaichi Agent already has these tools, with nothing to set up.
What teams do with Iru (formerly Kandji) through Elaichi
Ask in plain English. Each person’s AI can do only what they’re allowed to, and every action it takes in Iru (formerly Kandji) is logged.
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IT
Find out who has which Mac
Ask which devices are enrolled in Iru (formerly Kandji), who each one is assigned to, and when it last checked in, without opening the console or exporting a spreadsheet.
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Help desk
Check installed apps before replying to a ticket
Pull up a colleague's device in Iru (formerly Kandji), see which apps are installed and which library items have reached it, and answer the ticket with facts instead of a guess.
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Security
Confirm required software reached every device
Compare the apps and library items on each Iru (formerly Kandji) device against what should be there, and get a list of the machines that are missing something.
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IT
Understand what a blueprint actually sets
Look at the blueprints in Iru (formerly Kandji), read what a specific one configures, and see which devices sit under it before changing a policy.
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People
Clean up when someone leaves
Look up the departing person's user record and devices in Iru (formerly Kandji), update the device details, and remove the user record once hardware is returned.
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Operations
Keep the hardware inventory current
Update asset tags and assigned users on Iru (formerly Kandji) devices as laptops move between people and offices, so the device list matches what is on desks.
Try asking
- “List all Iru devices missing their assigned blueprint.”
- “Which Iru devices have apps out of date?”
- “Show Iru users with more than two devices.”
What connecting Iru (formerly Kandji) gets you
6 screens from Elaichi, each doing one job for your Iru (formerly Kandji) account.
Ask Elaichi to work across your apps.
List all Iru devices missing their assigned blueprint.
Which Iru devices have apps out of date?
Show Iru users with more than two devices.
Also runs in Claude, ChatGPT, Cursor or Microsoft Copilot
The agent
Ask about devices, get answers from Iru.
Plain language questions return live devices, blueprints and users from Iru.
Copy the endpoint
AI apps
Claude, ChatGPT, Cursor and Microsoft Copilot reach Iru.
One org MCP endpoint over OAuth, no SDK and no shared API key.
Tool catalog
17 Iru tools, no custom code.
Devices, device apps, library items, blueprints and users are all covered.
Toolboxes
Every team gets its own Iru toolbox.
IT, Security and Helpdesk each work from a toolbox scoped to them.
Shared connections
Share the Iru connection, not the token.
Teammates manage devices and blueprints through a connection without seeing a credential.
Audit log
Every Iru call is written down.
When, who, what happened, type and resource for each device action.
From answering questions to doing the work
A trigger starts the work, inside the same permissions and the same audit log as everything else. Automations, collections and live dashboards come with the Black plan.
Iru (formerly Kandji) digest
Run 418 · started 2 minutes ago · on behalf of Emily Carter
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✓
Schedule
Every weekday at 8:00 AM
0.2s -
✓
Fetch devices
Iru (formerly Kandji)
1.4s -
✓
Group by owner
Transform
0.1s -
✓
Draft the digest
Agent step
Ran with 4 tools, returned a structured summary
6.2s -
Approve the digest
Needs approval
Assigned to Jake Morgan
Approve Deny -
Post the digest
Iru (formerly Kandji)
Queued
Automations
A schedule fires, Iru work gets done.
Devices are fetched, grouped, drafted into a digest, approved, then posted back.
Iru (formerly Kandji) health
Refreshed 4 minutes ago · every 15 minutes · from the devices collection
Devices
1,284 ↓ 12%
Blueprints
96 ↓ 8%
Needs attention
3 ↑ 2
Updated this week
412 ↑ 9%
Devices created
Last 14 days
By team
Share of activity
IT EMEA 34%
IT Americas 27%
Security 21%
Helpdesk 18%
Collections and dashboards
Iru device health, computed on a schedule.
Four metrics, 14 days of devices enrolled, and a breakdown by team.
For IT and engineering
Elaichi vs Zapier MCP vs Composio for Iru (formerly Kandji)
All three can connect Iru (formerly Kandji) to an AI assistant, and all three have admin controls. They differ in where access lives and how you pay.
| What to check | Elaichi | Zapier MCP | Composio |
|---|---|---|---|
| Where the AI connects |
One address for the whole organization.
https://api.elaichi.ai/mcp
|
A server per member, created at sign-in. | An MCP endpoint per team, or an SDK. |
| Control over Iru (formerly Kandji) tools | Allow or restrict single Iru (formerly Kandji) tools, per role or user. | App and action restrictions on the account. | Role permissions, down to the action. |
| Record of calls | One audit entry per Iru (formerly Kandji) call. | A History tab of tool calls. | A log of every tool call. |
| Single sign-on | SAML or OIDC, plus SCIM, on Gold. | SAML on Enterprise. | SAML and OIDC on Enterprise. |
| Price | Free for one person; $15 per user per month on Gold. | 2 tasks per successful call. | Billed per tool call. |
Sources: Zapier MCP docs, security, usage; Composio docs, gateway, enterprise, pricing. Checked September 2026.
Longer take: Zapier MCP alternative and when you don't need an MCP gateway.
Iru (formerly Kandji) tools for your AI agents
17 tools are ready to call through Elaichi's MCP endpoint the moment you connect Iru (formerly Kandji), governed by the same roles, restrictions, and audit log as everything else in Elaichi.
No tools match your search.
Questions, answered
How do I connect Iru (formerly Kandji) to Claude?
Connect Iru (formerly Kandji) in Elaichi first, which asks you to paste an API key from your Iru settings. There is no OAuth application to register and no client ID or secret to generate. Then open Claude, go to Customize, then Connectors, then Add, and paste the endpoint https://api.elaichi.ai/mcp. Claude will ask you to sign in to Elaichi as yourself, and your Iru devices, users and blueprints are available from then on.
Does Iru (formerly Kandji) work with ChatGPT and Cursor as well as Claude?
Yes. Once Iru (formerly Kandji) is connected in Elaichi, the same endpoint, https://api.elaichi.ai/mcp, works in Claude, ChatGPT, Cursor, Microsoft Copilot, any other MCP client and the Elaichi Agent. You connect Iru once and every client you use picks it up.
What can an AI agent actually do with my Iru (formerly Kandji) data?
An agent connected to Iru (formerly Kandji) can list your enrolled devices, open a single device and report who it is assigned to and when it last checked in, and show which apps and library items are on it. It can read your blueprints, look up users, update device details such as asset tag or assigned user, and remove a device or user record when you ask it to. It cannot do anything in Iru that you could not do yourself.
Does connecting Iru (formerly Kandji) give the AI access to my whole device fleet?
No. Every call to Iru (formerly Kandji) runs inside the access of the person who signed in, so the AI sees the devices, users and blueprints that person's Iru permissions allow and nothing more. Elaichi can narrow that further by restricting actions like deleting devices, but it can never grant more than the person already has in Iru.
Can I stop an agent from deleting or changing things in Iru (formerly Kandji)?
Yes. Restrictions in Elaichi apply per action, so you can allow reading Iru (formerly Kandji) devices, apps and blueprints while restricting updates and deletions of devices or users. A restricted action still appears in Elaichi's tool search, flagged as restricted, but Claude, ChatGPT or any other client cannot run it, whatever the prompt says.
What happens to an Iru (formerly Kandji) connection when someone leaves?
When you offboard a person in Elaichi, their access to Iru (formerly Kandji) through every AI client ends at once. If they had shared an Iru connection with a team, it keeps working for everyone else. If you want Iru gone entirely, disconnecting it once in Elaichi removes it from Claude, ChatGPT, Cursor, Microsoft Copilot and every other client at the same time.
Does the Iru (formerly Kandji) MCP connector work with Gemini, Codex, Claude Code or other MCP clients?
Yes. Iru (formerly Kandji) is reached over the same MCP endpoint every client uses, so anything that speaks MCP can call it — Gemini, Codex, Claude Code, Windsurf, Cline, Zed and OpenCode among them — alongside Claude, ChatGPT, Cursor, Microsoft Copilot, and the Elaichi Agent. The tools on offer and the access behind them are identical whichever client asks. Only the setup screen differs.
Is Elaichi an alternative to Zapier MCP for Iru (formerly Kandji)?
Yes. Both let Claude, ChatGPT or Cursor use Iru (formerly Kandji). Zapier MCP fits a team that already automates in Zapier, since each person signs in and acts as themselves in that account. Elaichi fits when IT wants one address for the whole company, per-tool rules by role, and a record of every Iru (formerly Kandji) call.
How is Elaichi different from Composio for Iru (formerly Kandji)?
Composio gives AI agents tools and sign-in handling across 1,000+ apps, for developers building agents or people using an assistant, billed per tool call. Elaichi gives a company's own people governed access to Iru (formerly Kandji): one address, restrictions per role or user, and $15 per user per month. Both have role permissions and a log of every call.
Put Iru (formerly Kandji) in front of your team
14 days of Black, no credit card. Connect it once and pick what each team can call.
When the trial ends, nothing is deleted. You move to the free Personal plan, and connections, roles and the audit log stay where they are.
Add one link to your AI app
The same link for everyone on your team.
https://api.elaichi.ai/mcp
ChatGPT
Claude
Cursor
Microsoft Copilot