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How to Use the Kisi MCP in Cursor

Integrate Kisi access control into your Cursor workflow. Execute lock commands and audit user permissions while you code.

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Works with every AI agent you already use

…and any MCP-compatible client

Kisi MCP on Cursor AI Code Editor MCP Client Kisi MCP on Claude Desktop App MCP Integration Kisi MCP on OpenAI Agents SDK MCP Compatible Kisi MCP on Visual Studio Code MCP Extension Client Kisi MCP on GitHub Copilot AI Agent MCP Integration Kisi MCP on Google Gemini AI MCP Integration Kisi MCP on Lovable AI Development MCP Client Kisi MCP on Mistral AI Agents MCP Compatible Kisi MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Cursor

Connect Kisi MCP to Cursor

Create your Vinkius account to connect Kisi to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Automate Kisi tasks in Cursor

Inject `unlock_kisi_lock` or `lockdown_kisi_lock` calls directly into your agent-assisted coding session. This lets you test security logic against real API responses instead of static mocks. Your code interacts with the physical world through the MCP protocol. It's the fastest way to build and debug access control features.

Query Kisi data in Cursor

Use `list_kisi_users` to pull organization data into your editor context. You can then use `get_kisi_user` to inspect specific profiles without leaving the IDE. This keeps your data flow local to your current task. You spend less time context-switching and more time building.

Verify facility status via MCP Server

Run `list_kisi_locks` and `check_kisi_status` to confirm your infrastructure is healthy. You can verify place configurations by calling `get_kisi_place` during your setup process. This ensures your code works against live system state. You catch configuration errors before they hit production.

Setup guide

Set up Kisi MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Kisi MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Kisi transactions." If the MCP tools are loaded correctly, Cursor will call the Kisi tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "kisi-alternative-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kisi. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Kisi MCP in Cursor

Cursor uses the MCP Server to call API endpoints directly. When you trigger a tool, the server executes the request and returns the data to your chat window.
You can. Define the server in your `.cursor/mcp.json` file. Once configured, your agent can call Kisi tools like `list_kisi_groups` automatically.
Your user list is handled by the server and only exposed to the AI client during your active session. No PII is cached by the editor itself.
Ask your agent to run `lockdown_kisi_lock` with the appropriate lock ID. The tool sends the signal to the Kisi cloud to secure the door.
Yes, all 10 tools are supported. From `list_kisi_places` to `get_kisi_lock`, you have full programmatic control over your access hardware.

Start using the Kisi MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Kisi. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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