How to Use the NASA TechPort (Technology Projects) MCP in Vercel AI SDK

Q: How do I use the Vercel AI SDK to search NASA TechPort (Technology Projects) for new grants?

You'll pass the searchopportunities tool to generateText. Your UI can provide a form, and the user's input becomes the query. The results will stream directly into your components, creating a live feed of funding opportunities.

Q: Can I build a component that shows project contacts?

Yes. Once you have a project ID, your AI client can call getproject to get its details. From there, your agent can use the listcontacts tool to find and display the relevant people associated with that work.

Q: What’s the best way to visualize the NASA TechPort (Technology Projects) taxonomy with the Vercel AI SDK?

Use the gettaxonomytree tool, which provides the full nested structure. You can then stream this data into a frontend component like D3.js or a simple recursive React component to render an interactive tree view.

Stream NASA project data directly into your Next.js app with the Vercel AI SDK. No loading spinners, just real-time R&D insights.

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Connect NASA TechPort (Technology Projects) MCP to Vercel AI SDK

Create your Vinkius account to connect NASA TechPort (Technology Projects) to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup NASA TechPort (Technology Projects) with Vercel AI SDK

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Build Live R&D Dashboards

This MCP Server lets you stream NASA's technology portfolio data right into your React components. Your users can watch as project details from `get_project` or funding opportunities from `list_opportunities` populate the screen in real time. It's not just fetching data; it's a live view into NASA's R&D pipeline. Use the `streamText` function to feed data from `search_object_advanced` into a table or list. As your AI client gets results, your UI updates instantly. This is perfect for building internal tools that track specific technology taxonomies or grant activity without constant page reloads.

Interactive Tech Exploration with Vercel AI SDK

Let your users explore NASA's complex technology trees without writing a single backend route. The `get_taxonomy_tree` tool sends the entire structure, and you can render it with your favorite tree component. Your agent handles the API calls; you just handle the UI state. When a user clicks a node, you can trigger a new call to `list_projects` to find related work. This turns a static data portal into an interactive research tool, all powered by your frontend and this MCP server.

Predict Tech Readiness On The Fly

Feed a technology description into your UI, and have your agent call the `predict_trex` tool. The AI will return NASA's taxonomy recommendations for that tech. You can stream these suggestions directly below the user's input field. This gives your users immediate feedback on where their ideas fit within NASA's framework. You can also use `predict_drex` to suggest destination areas, helping them align their R&D with federal priorities, live in the browser.

Setup guide

Set up NASA TechPort (Technology Projects) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all NASA TechPort (Technology Projects) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent NASA TechPort (Technology Projects) transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NASA TechPort. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about NASA TechPort (Technology Projects) MCP in Vercel AI SDK

You'll pass the `search_opportunities` tool to `generateText`. Your UI can provide a form, and the user's input becomes the query. The results will stream directly into your components, creating a live feed of funding opportunities.

Yes. Once you have a project ID, your AI client can call `get_project` to get its details. From there, your agent can use the `list_contacts` tool to find and display the relevant people associated with that work.

Use the `get_taxonomy_tree` tool, which provides the full nested structure. You can then stream this data into a frontend component like D3.js or a simple recursive React component to render an interactive tree view.

Your agent can systematically query different technology areas using `search_object_advanced`. By analyzing which queries return few or no results from `list_projects`, you can identify underfunded or unexplored domains directly in your application's UI.

This server only interacts with public NASA TechPort data, such as project descriptions, funding amounts, and organization names. Your connection is secured through a single Vinkius endpoint token, which handles authentication. All data processing happens in an ephemeral, zero-trust sandbox for each request.

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