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Haversine Distance Engine MCP Server for Mastra AIGive Mastra AI instant access to 1 tools to Calculate Distance

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Haversine Distance Engine through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Haversine Distance Engine MCP Server for Mastra AI is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "haversine-distance-engine": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Haversine Distance Engine Agent",
    instructions:
      "You help users interact with Haversine Distance Engine " +
      "using 1 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Haversine Distance Engine?"
  );
  console.log(result.text);
}

main();
Haversine Distance Engine
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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Haversine Distance Engine tool infrastructure. Connect 1 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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

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 Mastra AI via MCP

Follow these steps to wire Haversine Distance Engine into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 1 tools from Haversine Distance Engine via MCP

Why Use Mastra AI with the Haversine Distance Engine MCP Server

Mastra AI provides unique advantages when paired with Haversine Distance Engine through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Haversine Distance Engine without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Haversine Distance Engine tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Haversine Distance Engine + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Haversine Distance Engine MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Haversine Distance Engine, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Haversine Distance Engine as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Haversine Distance Engine on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Haversine Distance Engine tools alongside other MCP servers

Example Prompts for Haversine Distance Engine in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Haversine Distance Engine immediately.

01

"Calculate the exact geographic distance in kilometers between London (51.5074, -0.1278) and Paris (48.8566, 2.3522)."

02

"What is the distance in miles from the warehouse (-23.5505, -46.6333) to the delivery address (-22.9068, -43.1729)?"

03

"Convert the distance between these coordinates into exact meters for a micro-mobility agent."

Troubleshooting Haversine Distance Engine MCP Server with Mastra AI

Common issues when connecting Haversine Distance Engine to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Haversine Distance Engine + Mastra AI FAQ

Common questions about integrating Haversine Distance Engine MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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