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Data.gov Catalog MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Get Harvest Record, Get Harvest Record Raw, Get Harvest Record Transformed, and more

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

Ask AI about this MCP Server for Vercel AI SDK

The Data.gov Catalog MCP Server for Vercel AI SDK is a standout in the Data Analytics category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 Data.gov Catalog, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Data.gov Catalog
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 Data.gov Catalog MCP Server

Connect to the Data.gov Catalog to explore the comprehensive repository of US Government open data. This MCP server allows AI agents to discover datasets from agencies like NASA, NOAA, and the Census Bureau through natural language.

The Vercel AI SDK gives every Data.gov Catalog tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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

  • Dataset Discovery — Search the entire catalog using keywords, organization filters, and advanced sorting via search_datasets.
  • Spatial Analysis — Find datasets by geographic location using GeoJSON boundaries and spatial filters with search_locations and get_location_geometry.
  • Organization Insights — List all publishing organizations and filter results by specific agency slugs using get_organizations.
  • Metadata Inspection — Retrieve detailed harvest records, including raw and transformed DCAT-US payloads with get_harvest_record_raw and get_harvest_record_transformed.
  • Keyword Trends — Analyze commonly used keywords and their dataset counts to identify data trends using get_keywords.

The Data.gov Catalog MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Data.gov Catalog tools available for Vercel AI SDK

When Vercel AI SDK connects to Data.gov Catalog through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, federal-data, dataset-discovery, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get harvest record on Data.gov Catalog

Retrieve metadata about how a dataset was ingested

get

Get harvest record raw on Data.gov Catalog

Retrieve original unmodified source payload for a harvest record

get

Get harvest record transformed on Data.gov Catalog

Retrieve transformed DCAT-US payload for a harvest record

get

Get keywords on Data.gov Catalog

Retrieve commonly used keywords and their dataset counts

get

Get location geometry on Data.gov Catalog

Retrieve the GeoJSON boundary for a specific location ID

get

Get organizations on Data.gov Catalog

Retrieve the complete list of publishing organizations

search

Search datasets on Data.gov Catalog

Search the catalog using keywords, filters, and sorting

search

Search locations on Data.gov Catalog

Autocomplete search for location names to use with spatial filtering

Connect Data.gov Catalog to Vercel AI SDK via MCP

Follow these steps to wire Data.gov Catalog into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 8 tools from Data.gov Catalog and passes them to the LLM

Why Use Vercel AI SDK with the Data.gov Catalog MCP Server

Vercel AI SDK provides unique advantages when paired with Data.gov Catalog 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 Data.gov Catalog integration everywhere

03

Built-in streaming UI primitives let you display Data.gov Catalog 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

Data.gov Catalog + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Data.gov Catalog MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Data.gov Catalog in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Data.gov Catalog tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Data.gov Catalog capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Data.gov Catalog through natural language queries

Example Prompts for Data.gov Catalog in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Data.gov Catalog immediately.

01

"Search for NASA datasets related to climate change."

02

"List all government organizations that publish data here."

03

"Get the GeoJSON boundary for 'Los Angeles' to filter my search."

Troubleshooting Data.gov Catalog MCP Server with Vercel AI SDK

Common issues when connecting Data.gov Catalog to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Data.gov Catalog + Vercel AI SDK FAQ

Common questions about integrating Data.gov Catalog 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.

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