Rapid7 InsightVM 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 Rapid7 InsightVM as an MCP tool provider through the 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 Rapid7 InsightVM. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Rapid7 InsightVM?"
)
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 Rapid7 InsightVM MCP Server
Connect your Rapid7 InsightVM (formerly Nexpose) platform directly to your AI agent. By granting this access, your AI becomes a highly interactive cybersecurity assistant, allowing engineers and security analysts to query vulnerabilities, review asset health, and start scans right from their workspace or IDE.
LlamaIndex agents combine Rapid7 InsightVM tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Asset Querying — Retrieve comprehensive inventory lists to discover all tracked computing assets and read their operating system fingerprints and hardware information.
- Vulnerability Checks — Scan specific assets to instantly read CVE numbers mapped against them, alongside full vulnerability advisories and remediation guidelines.
- Scan Operations — Read chronologically maintained assessment scans and track their execution status without jumping between consoles.
- Site Management — Explore configured network sites, observing their designated scanning scopes and reviewing overall health risks.
- Trigger Scanning — Force an immediate re-evaluation scan on a specified site after applying a patch, validating your resolution securely.
The Rapid7 InsightVM 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 Rapid7 InsightVM to LlamaIndex via MCP
Follow these steps to integrate the Rapid7 InsightVM 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 Rapid7 InsightVM
Why Use LlamaIndex with the Rapid7 InsightVM MCP Server
LlamaIndex provides unique advantages when paired with Rapid7 InsightVM through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Rapid7 InsightVM tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Rapid7 InsightVM tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Rapid7 InsightVM, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Rapid7 InsightVM tools were called, what data was returned, and how it influenced the final answer
Rapid7 InsightVM + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Rapid7 InsightVM MCP Server delivers measurable value.
Hybrid search: combine Rapid7 InsightVM real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Rapid7 InsightVM 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 Rapid7 InsightVM for fresh data
Analytical workflows: chain Rapid7 InsightVM queries with LlamaIndex's data connectors to build multi-source analytical reports
Rapid7 InsightVM MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Rapid7 InsightVM to LlamaIndex via MCP:
get_asset
Retrieves detailed information for a specific asset
get_asset_vulnerabilities
Lists all vulnerabilities found on a specific asset
get_scan
Retrieves execution status and results for a specific scan
get_site
Retrieves details for a specific network site
get_vulnerability
Retrieves details for a specific vulnerability ID
list_assets
Lists all discovered computing assets
list_scans
Lists chronological assessment scans
list_sites
Lists all configured network scan sites
list_vulnerabilities
Lists global vulnerability definitions
trigger_scan
Forces an immediate vulnerability scan for a site
Example Prompts for Rapid7 InsightVM in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Rapid7 InsightVM immediately.
"Fetch the list of network sites currently managed by Rapid7."
"What vulnerabilities are discovered on asset 1052?"
"Force a new scan on Site ID 15 immediately."
Troubleshooting Rapid7 InsightVM MCP Server with LlamaIndex
Common issues when connecting Rapid7 InsightVM to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpRapid7 InsightVM + LlamaIndex FAQ
Common questions about integrating Rapid7 InsightVM 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 Rapid7 InsightVM 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 Rapid7 InsightVM to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.