Kolide MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Kolide as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Kolide. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Kolide?"
)
print(response)
asyncio.run(main())
* 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 Kolide MCP Server
Connect your AI agent to Kolide to get full visibility into your organization's fleet security and device health.
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.
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
1. Subscribe to this server
2. Log in to Kolide, go to Settings > API, and generate a Bearer Token
3. Enter your token in the configuration
4. Start auditing your fleet via natural language
The Kolide MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex 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 Kolide to LlamaIndex via MCP
Follow these steps to integrate the Kolide MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Kolide
Why Use LlamaIndex with the Kolide MCP Server
LlamaIndex provides unique advantages when paired with Kolide through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Kolide tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Kolide tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Kolide, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Kolide tools were called, what data was returned, and how it influenced the final answer
Kolide + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Kolide MCP Server delivers measurable value.
Hybrid search: combine Kolide real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Kolide to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Kolide for fresh data
Analytical workflows: chain Kolide queries with LlamaIndex's data connectors to build multi-source analytical reports
Kolide MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Kolide to LlamaIndex via MCP:
get_check_details
Get details for a specific check
get_device_details
Get details for a specific device
get_issue_details
Get details for a specific security issue
get_kolide_fleet_stats
g., total devices, online status, issue count). Get high-level fleet statistics
get_person_details
Get details for a specific person
list_kolide_audit_logs
List fleet audit logs
list_kolide_checks
List all available security checks
list_kolide_devices
Use this to audit fleet security posture and identify individual device IDs. List all devices in the fleet
list_kolide_issues
List security issues across the fleet
list_kolide_people
List people/users managed in Kolide
Example Prompts for Kolide in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Kolide immediately.
"List all devices currently online in Kolide"
"What are the most common security issues in my fleet?"
"Show fleet statistics for today"
Troubleshooting Kolide MCP Server with LlamaIndex
Common issues when connecting Kolide to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKolide + LlamaIndex FAQ
Common questions about integrating Kolide MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Kolide with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Kolide to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.