Bring Endpoint Security
to LlamaIndex
Create your Vinkius account to connect Kolide 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 Kolide MCP Server?
Connect your AI agent to Kolide to get full visibility into your organization's fleet security and device health.
Key Features
- Fleet Inventory — List all managed devices and their high-level security status
- Issue Tracking — Monitor active security vulnerabilities and misconfigurations across your fleet
- People & Ownership — See which users are associated with which devices and their individual compliance state
- Security Checks — Audit available security checks and dive into specific failure conditions
- Audit Logs — Access a chronological history of administrative and security events
How to setup
- Subscribe to this server
- Log in to Kolide, go to Settings > API, and generate a Bearer Token
- Enter your token in the configuration
- Start auditing your fleet via natural language
Built-in capabilities (10)
Get details for a specific check
Get details for a specific device
Get details for a specific security issue
g., total devices, online status, issue count). Get high-level fleet statistics
Get details for a specific person
List fleet audit logs
List all available security checks
Use this to audit fleet security posture and identify individual device IDs. List all devices in the fleet
List security issues across the fleet
List people/users managed in Kolide
Why LlamaIndex?
LlamaIndex agents combine Kolide 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 Kolide tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Kolide tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Kolide, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Kolide tools were called, what data was returned, and how it influenced the final answer
Kolide in LlamaIndex
Why run Kolide with Vinkius?
The Kolide 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 Kolide using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Kolide and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Kolide 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
Kolide for LlamaIndex
Every request between LlamaIndex and Kolide 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
Where do I find my Kolide API Token?
Log in to the Kolide dashboard, navigate to Settings in the bottom left, and select the API tab to generate a token.
Can I see hardware details of a device?
Yes, the get_device_details tool returns hardware specifications along with security data.
Does this support multi-tenant accounts?
The API key is typically scoped to a specific organization. Ensure you are using the token for the desired fleet.
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 Kolide 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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