Kandji MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Kandji through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Kandji and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"kandji": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Kandji MCP Server
Empower your AI agents with Kandji's modern Apple MDM platform. This MCP server allows you to list and retrieve device details, manage blueprints and custom apps, track administrative activity, and view system security parameters directly through the Kandji API. Ideal for automating IT operations and fleet security for macOS and iOS.
Windsurf's Cascade agent chains multiple Kandji tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
The Kandji MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Kandji to Windsurf via MCP
Follow these steps to integrate the Kandji MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Kandji
Open Cascade and ask: "Using Kandji, help me...". 10 tools available
Why Use Windsurf with the Kandji MCP Server
Windsurf provides unique advantages when paired with Kandji through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Kandji + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Kandji MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Kandji and generate models, types, or handlers based on real API responses
Live debugging: query Kandji tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Kandji and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Kandji data with Cascade's code generation to scaffold entire features in minutes
Kandji MCP Tools for Windsurf (10)
These 10 tools become available when you connect Kandji to Windsurf via MCP:
get_device
Essential for deep-dive auditing of a specific asset. Retrieves details for a specific device
get_organization
Use to verify account identity. Retrieves details about your Kandji organization
list_activity
Essential for auditing system changes and recent management history. Lists recent management activity
list_auto_apps
Essential for auditing standard software libraries. Lists all Kandji Auto Apps
list_blueprints
Useful for understanding how devices are categorized and configured. Lists all device blueprints
list_commands
g., Lock, Wipe, Restart) sent to managed devices. Useful for auditing remote actions. Lists recent MDM commands sent to devices
list_custom_apps
Useful for auditing non-store software deployments. Lists all custom applications
list_devices
Returns device names, IDs, and OS versions. Use this as the main tool for auditing the device fleet. Lists all managed Apple devices in Kandji
list_parameters
Useful for auditing available security controls. Lists all library parameters (policies)
list_users
Useful for identifying device owners and primary users. Lists all users associated with devices
Example Prompts for Kandji in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Kandji immediately.
"List all managed Mac computers in Kandji."
"Show me the details for device ID 'abc-123'."
"Check recent administrative activity in Kandji."
Troubleshooting Kandji MCP Server with Windsurf
Common issues when connecting Kandji to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Kandji + Windsurf FAQ
Common questions about integrating Kandji MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Kandji with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kandji to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.