KeepTrack Space Intelligence MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect KeepTrack Space Intelligence 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 KeepTrack Space Intelligence, 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 KeepTrack Space Intelligence MCP Server
Equip your AI agent with real-time orbital intelligence through the KeepTrack MCP server. This integration provides instant access to a massive database of satellites, space debris, and other objects orbiting the Earth. Your agent can search for satellites by name, retrieve detailed metadata (including NORAD IDs, country of origin, and launch dates), and monitor the most recent objects launched into space. Whether you are conducting aerospace research, tracking telecommunications assets, or exploring orbital mechanics, your agent acts as a dedicated space operations analyst through natural conversation.
The Vercel AI SDK gives every KeepTrack Space Intelligence tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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
- Satellite Search — Find satellites and orbital objects by name or keyword.
- Metadata Retrieval — Access exhaustive info including NORAD IDs, orbit types, and country data.
- Launch Monitoring — Retrieve a list of the most recent objects deployed into orbit.
- Orbital Auditing — Track specific satellite constellations like Starlink or GPS.
The KeepTrack Space Intelligence MCP Server exposes 3 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 KeepTrack Space Intelligence to Vercel AI SDK via MCP
Follow these steps to integrate the KeepTrack Space Intelligence 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 3 tools from KeepTrack Space Intelligence and passes them to the LLM
Why Use Vercel AI SDK with the KeepTrack Space Intelligence MCP Server
Vercel AI SDK provides unique advantages when paired with KeepTrack Space Intelligence 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 KeepTrack Space Intelligence integration everywhere
Built-in streaming UI primitives let you display KeepTrack Space Intelligence 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
KeepTrack Space Intelligence + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the KeepTrack Space Intelligence MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query KeepTrack Space Intelligence in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate KeepTrack Space Intelligence tools and return structured JSON responses to any frontend
Chatbots with tool use: embed KeepTrack Space Intelligence capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with KeepTrack Space Intelligence through natural language queries
KeepTrack Space Intelligence MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect KeepTrack Space Intelligence to Vercel AI SDK via MCP:
get_recent_space_launches
Get most recent space launches
get_satellite_details
Get details for a specific satellite
search_satellites
Search for satellites by name
Example Prompts for KeepTrack Space Intelligence in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with KeepTrack Space Intelligence immediately.
"Search for satellites named 'Starlink'."
Troubleshooting KeepTrack Space Intelligence MCP Server with Vercel AI SDK
Common issues when connecting KeepTrack Space Intelligence to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKeepTrack Space Intelligence + Vercel AI SDK FAQ
Common questions about integrating KeepTrack Space Intelligence 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 KeepTrack Space Intelligence 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 KeepTrack Space Intelligence to Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.