Haversine Distance Engine MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 1 tools to Calculate Distance
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Haversine Distance Engine 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 Haversine Distance Engine MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 Haversine Distance Engine, 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 Haversine Distance Engine MCP Server
LLMs lack spatial and geometric reasoning. If an AI agent attempts to calculate the distance between two GPS coordinates, it often returns a hallucinated straight-line guess that ignores the Earth's spherical shape. This MCP solves that by bringing mathematical geometric precision to the edge.
The Vercel AI SDK gives every Haversine Distance Engine tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The Superpowers
- Haversine Math: Executes the complex spherical trigonometry formula instantly to calculate the exact distance over the Earth's surface.
- Multi-Unit Precision: Native support for Kilometers, Miles, Meters, and Nautical Miles without manual float conversions.
The Haversine Distance Engine MCP Server exposes 1 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 1 Haversine Distance Engine tools available for Vercel AI SDK
When Vercel AI SDK connects to Haversine Distance Engine through Vinkius, your AI agent gets direct access to every tool listed below — spanning geospatial, spherical-trigonometry, distance-calculation, 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.
Calculate distance on Haversine Distance Engine
Pass latitude and longitude for both points. The engine uses the Haversine formula to return the distance in kilometers and miles. Calculates the exact geographic distance between two GPS coordinates using the mathematical Haversine formula
Connect Haversine Distance Engine to Vercel AI SDK via MCP
Follow these steps to wire Haversine Distance Engine into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Haversine Distance Engine MCP Server
Vercel AI SDK provides unique advantages when paired with Haversine Distance Engine 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 Haversine Distance Engine integration everywhere
Built-in streaming UI primitives let you display Haversine Distance Engine 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
Haversine Distance Engine + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Haversine Distance Engine MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Haversine Distance Engine in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Haversine Distance Engine tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Haversine Distance Engine capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Haversine Distance Engine through natural language queries
Example Prompts for Haversine Distance Engine in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Haversine Distance Engine immediately.
"Calculate the exact geographic distance in kilometers between London (51.5074, -0.1278) and Paris (48.8566, 2.3522)."
"What is the distance in miles from the warehouse (-23.5505, -46.6333) to the delivery address (-22.9068, -43.1729)?"
"Convert the distance between these coordinates into exact meters for a micro-mobility agent."
Troubleshooting Haversine Distance Engine MCP Server with Vercel AI SDK
Common issues when connecting Haversine Distance Engine to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHaversine Distance Engine + Vercel AI SDK FAQ
Common questions about integrating Haversine Distance Engine 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.Explore More MCP Servers
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