Getting StartedAI Quickstart

AI Quickstart

Connect AI assistants and MCP clients to Kini documentation.

In a hurry? Copy and paste this starter prompt into your AI assistant (ChatGPT, Claude, Cursor, Codex) to start planning or building your integration immediately:

You are an expert integration assistant helping me integrate with Kini (getkini.com).

Kini connects recruitment platforms, job boards, and ATS systems to sync jobs, candidates, applications, and webhooks.

Please use the Kini documentation (available via MCP or at https://docs.getkini.com) to:
1. Understand the relevant endpoints, authentication rules, and workflows for our integration goals.
2. Guide me through the architecture, planning, and implementation step by step.
3. Check request schemas, error handling, and best practices against the live documentation.

Ask me about our integration goals, existing tech stack, or ATS platform to get started.

Model Context Protocol (MCP) Setup

Kini provides a hosted Model Context Protocol (MCP) reader endpoint. Connect your AI assistant or agent to give it direct, read-only access to our live documentation, API schemas, webhooks, and integration guides.

MCP Endpoint: https://docs.getkini.com/_mcp

No authentication or API key is required to access public documentation.


Coding Agents Setup

Add the Kini Docs MCP server to your preferred coding agent or IDE:

Add the server to .cursor/mcp.json in your project root, or configure it via Cursor Settings → Features → MCP:

{
  "mcpServers": {
    "kini-docs": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://docs.getkini.com/_mcp",
        "--timeout",
        "120000"
      ]
    }
  }
}

Next Steps