Tenable MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Tenable through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Tenable, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Tenable tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Tenable MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Tenable and passes them to the LLM
Why Use Vercel AI SDK with the Tenable MCP Server
Vercel AI SDK provides unique advantages when paired with Tenable through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Tenable integration everywhere
Built-in streaming UI primitives let you display Tenable tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Tenable + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Tenable MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Tenable in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Tenable tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Tenable capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Tenable through natural language queries
Tenable MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Tenable to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Tenable to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTenable + Vercel AI SDK FAQ
Common questions about integrating Tenable MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.