How to Use the KeepTrack Space Intelligence MCP in Vercel AI SDK

Q: How do I connect KeepTrack Space Intelligence to the Vercel AI SDK?

Install the required packages with npm install ai @ai-sdk/mcp. Then use createMCPClient with an HTTP transport URL to link the server to your application.

Q: Can the Vercel AI SDK stream KeepTrack Space Intelligence tool results?

Yes. You call mcpClient.tools() and pass the output to streamText. The frontend receives the orbital data as it generates.

Build live orbital tracking dashboards in React with Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect KeepTrack Space Intelligence MCP to Vercel AI SDK

Create your Vinkius account to connect KeepTrack Space Intelligence 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.

GDPR Free for Subscribers

Setup KeepTrack Space Intelligence with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream space launches to the UI

The `get_recent_space_launches` tool pulls the latest orbital missions directly into your application. When a user asks what went up this week, your Vercel AI SDK client fetches the data and streams the response instantly. You don't have to build a polling mechanism. The agent grabs the launch manifest, and your React frontend renders the payload details as fast as the LLM generates the text.

Fetch live satellite data with this MCP Server

The `get_satellite_details` tool grabs specific orbital parameters and hardware specs for any tracked object. You pass an ID, and the server returns the exact telemetry your agent needs to build a complete profile. This means your users can click a dot on a map, and the Edge Function immediately streams back the satellite's altitude, inclination, and purpose without hitting a loading spinner. An MCP Server handles the backend lookup while your code manages the UI.

Search the orbital catalog instantly

The `search_satellites` tool lets your agent find specific hardware by name. If a user types "Starlink" or "Kuiper", the tool scans the catalog and returns the matching identifiers. Combine this with streaming UI components, and you get a live search experience. Your AI processes the query, calls the tool, and populates the frontend table while the user is still reading the first sentence of the response.

Setup guide

Set up KeepTrack Space Intelligence 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 KeepTrack Space Intelligence 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 KeepTrack Space Intelligence transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by KeepTrack. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect KeepTrack Space Intelligence now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about KeepTrack Space Intelligence MCP in Vercel AI SDK

Install the required packages with `npm install ai @ai-sdk/mcp`. Then use `createMCPClient` with an HTTP transport URL to link the server to your application.

Yes. You call `mcpClient.tools()` and pass the output to `streamText`. The frontend receives the orbital data as it generates.

No. The AI queries the MCP Server directly. Your application acts as a passthrough for the live tracking data.

The SDK handles the tool execution automatically. The agent decides when it needs to look up a launch, calls the tool, and formats the response for your React components.

The server processes orbital object IDs and search strings. KeepTrack Space Intelligence does not log your users' IP addresses or associate the queries with personal frontend sessions. All data moves through an ephemeral MCP sandbox.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript