Tenable MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Tenable 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({
"tenable": {
"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 Tenable, 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 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.
LangChain's ecosystem of 500+ components combines seamlessly with Tenable 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
- 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 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 Tenable to LangChain via MCP
Follow these steps to integrate the Tenable 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 Tenable via MCP
Why Use LangChain with the Tenable MCP Server
LangChain provides unique advantages when paired with Tenable through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Tenable 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 Tenable queries for multi-turn workflows
Tenable + LangChain Use Cases
Practical scenarios where LangChain combined with the Tenable MCP Server delivers measurable value.
RAG with live data: combine Tenable tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Tenable, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Tenable tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Tenable tool call, measure latency, and optimize your agent's performance
Tenable MCP Tools for LangChain (10)
These 10 tools become available when you connect Tenable to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Tenable to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTenable + LangChain FAQ
Common questions about integrating Tenable 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 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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.