Bring Mdm
to LlamaIndex
Create your Vinkius account to connect Kandji to LlamaIndex and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
Built-in capabilities (10)
Essential for deep-dive auditing of a specific asset. Retrieves details for a specific device
Use to verify account identity. Retrieves details about your Kandji organization
Essential for auditing system changes and recent management history. Lists recent management activity
Essential for auditing standard software libraries. Lists all Kandji Auto Apps
Useful for understanding how devices are categorized and configured. Lists all device blueprints
g., Lock, Wipe, Restart) sent to managed devices. Useful for auditing remote actions. Lists recent MDM commands sent to devices
Useful for auditing non-store software deployments. Lists all custom applications
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
Useful for auditing available security controls. Lists all library parameters (policies)
Useful for identifying device owners and primary users. Lists all users associated with devices
Why LlamaIndex?
LlamaIndex agents combine Kandji tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Kandji tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Kandji tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Kandji, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Kandji tools were called, what data was returned, and how it influenced the final answer
Kandji in LlamaIndex
Why run Kandji with Vinkius?
The Kandji connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Kandji using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Kandji and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Kandji to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Kandji for LlamaIndex
Every request between LlamaIndex and Kandji is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get Kandji API credentials?
Log in to your Kandji account, navigate to Settings > Access > API Token, and generate a new token. You also need your tenant's API URL.
What is the API URL?
The API URL is specific to your Kandji instance (e.g., https://yourtenant.api.kandji.io). You can find this in your Kandji API settings.
Can I see remote commands?
Yes, the list_commands tool allows you to retrieve a history of MDM commands sent to your managed devices.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Kandji tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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