How do I configure my credentials for Rapid7?

The integration uses Basic Authentication interacting with the Rapid7 Console API. You must configure the `RAPID7_HOST` (IP or FQDN), `RAPID7_PORT` (usually 3780), along with a dedicated `RAPID7_USER` and `RAPID7_PASSWORD`. We strongly recommend generating a specific service account in your console with restricted scan permissions.

Is the scanning triggered individually per asset?

By default, the `trigger_scan` mechanism relies on referencing a defined `site_id`, scanning the preconfigured scope attached to it rather than blindly scanning one unassociated IP.

Does it report CVSS scores?

Yes, depending on the response data provided by your installed version of the InsightVM console. Using `get_vulnerability` or checking asset lists brings standard threat metadata and corresponding CVSS vectors directly into your AI interface context.

Rapid7 InsightVM MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Rapid7 InsightVM
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Rapid7 InsightVM through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Rapid7 InsightVM Assistant",
            instructions=(
                "You help users interact with Rapid7 InsightVM. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Rapid7 InsightVM"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 10 tools from Rapid7 InsightVM through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Rapid7 InsightVM, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Rapid7 InsightVM MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Rapid7 InsightVM

Why Use OpenAI Agents SDK with the Rapid7 InsightVM MCP Server

OpenAI Agents SDK provides unique advantages when paired with Rapid7 InsightVM through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Rapid7 InsightVM + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Rapid7 InsightVM MCP Server delivers measurable value.

Automated workflows: build agents that query Rapid7 InsightVM, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Rapid7 InsightVM, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Rapid7 InsightVM tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Rapid7 InsightVM to resolve tickets, look up records, and update statuses without human intervention

Rapid7 InsightVM MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Rapid7 InsightVM to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Rapid7 InsightVM to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Rapid7 InsightVM + OpenAI Agents SDK FAQ

Common questions about integrating Rapid7 InsightVM MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.