Rapid7 InsightVM MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Rapid7 InsightVM through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"rapid7-insightvm": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Rapid7 InsightVM, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Rapid7 InsightVM through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Rapid7 InsightVM MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Rapid7 InsightVM via MCP
Why Use LangChain with the Rapid7 InsightVM MCP Server
LangChain provides unique advantages when paired with Rapid7 InsightVM through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Rapid7 InsightVM MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Rapid7 InsightVM queries for multi-turn workflows
Rapid7 InsightVM + LangChain Use Cases
Practical scenarios where LangChain combined with the Rapid7 InsightVM MCP Server delivers measurable value.
RAG with live data: combine Rapid7 InsightVM tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Rapid7 InsightVM, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Rapid7 InsightVM tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Rapid7 InsightVM tool call, measure latency, and optimize your agent's performance
Rapid7 InsightVM MCP Tools for LangChain (10)
These 10 tools become available when you connect Rapid7 InsightVM to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Rapid7 InsightVM to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersRapid7 InsightVM + LangChain FAQ
Common questions about integrating Rapid7 InsightVM MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.