Tenable MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Tenable through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Tenable Assistant",
instructions=(
"You help users interact with Tenable. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Tenable"
)
print(result.final_output)
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 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Tenable through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Tenable, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 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 Tenable to OpenAI Agents SDK via MCP
Follow these steps to integrate the Tenable 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 Tenable
Why Use OpenAI Agents SDK with the Tenable MCP Server
OpenAI Agents SDK provides unique advantages when paired with Tenable 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
Tenable + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Tenable MCP Server delivers measurable value.
Automated workflows: build agents that query Tenable, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Tenable, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Tenable tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Tenable to resolve tickets, look up records, and update statuses without human intervention
Tenable MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Tenable to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Tenable to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Tenable + OpenAI Agents SDK FAQ
Common questions about integrating Tenable MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Tenable 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 Tenable to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
