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NIST NVD MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect NIST NVD through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 NIST NVD, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
NIST NVD
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IAMAccess control
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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 NIST NVD MCP Server

Connect to the National Vulnerability Database (NVD) API through your AI agent and explore the world's most comprehensive archive of cybersecurity vulnerabilities and product data using natural conversation.

The Vercel AI SDK gives every NIST NVD tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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

  • CVE Discovery — Search for Common Vulnerabilities and Exposures (CVEs) by ID, keyword, or specific weakness (CWE).
  • Product Security — Find all vulnerabilities associated with a specific product or version using its Common Platform Enumeration (CPE) string.
  • Severity Analysis — Filter vulnerabilities based on their CVSS V3 severity level (Low to Critical) to prioritize risks.
  • Temporal Tracking — Search for CVEs published or modified within specific date ranges to monitor recent threats.
  • Product Dictionary — Query the official CPE dictionary by keyword or UUID to identify software and hardware products.
  • Change History — Retrieve a detailed log of updates and modifications made to the vulnerability database.

The NIST NVD 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 NIST NVD to Vercel AI SDK via MCP

Follow these steps to integrate the NIST NVD MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from NIST NVD and passes them to the LLM

Why Use Vercel AI SDK with the NIST NVD MCP Server

Vercel AI SDK provides unique advantages when paired with NIST NVD through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same NIST NVD integration everywhere

03

Built-in streaming UI primitives let you display NIST NVD tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

NIST NVD + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the NIST NVD MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query NIST NVD in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate NIST NVD tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed NIST NVD capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with NIST NVD through natural language queries

NIST NVD MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect NIST NVD to Vercel AI SDK via MCP:

01

get_cpe_by_id

Get CPE dictionary entry by UUID

02

get_cve_by_id

g. CVE-2023-1234). Get CVE details by ID

03

get_cve_change_history

Retrieve CVE change history

04

list_cpe_matches

List valid CPE match strings

05

search_cpe_by_keyword

Search product dictionary by keyword

06

search_cve_by_cpe

Find CVEs for a product (CPE)

07

search_cve_by_cwe

g. CWE-89). Find CVEs by weakness (CWE)

08

search_cve_by_date

Search CVEs by publication date

09

search_cve_by_keyword

Search CVEs by keyword

10

search_cve_by_severity

Filter CVEs by severity

Example Prompts for NIST NVD in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with NIST NVD immediately.

01

"Get the details for CVE-2023-23397."

02

"Search for vulnerabilities in 'WordPress' with CRITICAL severity."

03

"What is the official CPE name for 'Windows 11'?"

Troubleshooting NIST NVD MCP Server with Vercel AI SDK

Common issues when connecting NIST NVD to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

NIST NVD + Vercel AI SDK FAQ

Common questions about integrating NIST NVD MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect NIST NVD to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.