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 CrewAI 10 tools — connect in under 2 minutes

Name: Rapid7 InsightVM
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Rapid7 InsightVM through Vinkius, pass the Edge URL in the `mcps` parameter and every Rapid7 InsightVM tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Rapid7 InsightVM Specialist",
    goal="Help users interact with Rapid7 InsightVM effectively",
    backstory=(
        "You are an expert at leveraging Rapid7 InsightVM tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Rapid7 InsightVM "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Rapid7 InsightVM becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Rapid7 InsightVM tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Rapid7 InsightVM MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Rapid7 InsightVM

Why Use CrewAI with the Rapid7 InsightVM MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Rapid7 InsightVM through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Rapid7 InsightVM + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Rapid7 InsightVM MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Rapid7 InsightVM for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Rapid7 InsightVM, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Rapid7 InsightVM tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Rapid7 InsightVM against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Rapid7 InsightVM MCP Tools for CrewAI (10)

These 10 tools become available when you connect Rapid7 InsightVM to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Rapid7 InsightVM + CrewAI FAQ

Common questions about integrating Rapid7 InsightVM MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.