Can my AI agent trigger vulnerability scans directly?

Yes! You can ask your agent to list all mapped scan profiles. Once you copy the ID for something like 'External Perimeter Quick Scan', you can tell the agent to seamlessly launch that specific scan ID out of standard bounds.

How easy is it to investigate an alert about a single compromised asset?

Extremely fast. If an IP triggers an alert downstream, ask your agent to retrieve asset details tracking that IP, obtain its specific Asset ID, and immediately pull vulnerabilities. You will instantly get a markdown table of CVEs missing on the endpoint without complex GUI clicking.

Can the agent interact with scanner appliances (Nessus)?

Yes. It can fetch your entire scanner inventory across Tenable.io. This includes the internal Nessus agents linked to the account, their connection status, license states, and underlying software versions so you know if your fleet is healthy.

Tenable MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Tenable
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Tenable through the Vinkius — pass the Edge URL in the `mcps` parameter and every Tenable 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

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Tenable Specialist",
    goal="Help users interact with Tenable effectively",
    backstory=(
        "You are an expert at leveraging Tenable 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 Tenable "
        "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)

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 Tenable MCP Server

Connect your Tenable (Tenable.io) environment to any AI agent and bring your enterprise vulnerability management directly into your IDE or chat via natural conversation.

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

What you can do

Scans & Assessments — List configured vulnerability scans, retrieve detailed run analytics, and even manually trigger immediate evaluations
Asset Intelligence — Browse your entire host and cloud inventory, retrieving deep telemetry like OS fingerprints, IPs, and tags
Vulnerability Triage — Pinpoint explicit security findings (Workbench) and CVEs affecting specific assets without navigating complex dashboards
Topology Oversight — See how your network spaces overlap and track organizational logical folders
Scanner Health — Check the operational status and plugin health of your internal enterprise scanning fleet

The Tenable 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 Tenable to CrewAI via MCP

Follow these steps to integrate the Tenable 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 Tenable

Why Use CrewAI with the Tenable MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Tenable 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 the 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

Tenable + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Tenable 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 Tenable, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Tenable 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 Tenable against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Tenable MCP Tools for CrewAI (10)

These 10 tools become available when you connect Tenable to CrewAI via MCP:

get_asset_details

Retrieves detailed metadata, networking, and risk profile for a specific asset

get_asset_vulnerabilities

Retrieves explicit security findings (Workbench) for a specific asset

get_scan_results

Retrieves runtime analytics and vulnerability summaries for a specific scan

launch_scan

Returns the newly created scan run ID. Manually triggers an immediate execution of a configured scan

list_asset_tags

g. "Critical", "Production", "External"). Lists organizational tags mapped to assets

list_assets

Lists host and cloud assets discovered in Tenable.io

list_logical_networks

Lists Tenable logical routing networks

list_scan_folders

g. "My Scans", "PCI Quarters"). Lists operational scan folders

list_scanners

Lists Nessus scanners managed by Tenable.io

list_scans

Lists vulnerability assessment scans from Tenable.io

Example Prompts for Tenable in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Tenable immediately.

"Find the status and schedule of the 'Weekly PCI Scan'."

"Retrieve all extreme vulnerabilities on asset ID 1383da-xxx."

"Launch the scan with ID a981bf93 immediately."

Troubleshooting Tenable MCP Server with CrewAI

Common issues when connecting Tenable 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

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

Tenable + CrewAI FAQ

Common questions about integrating Tenable 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.