How to Use the Haversine Distance Engine MCP in OpenAI Agents SDK

Get exact point-to-point mileage inside production-grade runs using the OpenAI Agents SDK and our distance engine.

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Connect Haversine Distance Engine MCP to OpenAI Agents SDK

Create your Vinkius account to connect Haversine Distance Engine to OpenAI Agents 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 Haversine Distance Engine with OpenAI Agents SDK

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Run safe distance lookups via this MCP Server

Production systems cannot tolerate agents guessing coordinate spans. Connecting this MCP server to your agents gives them the mathematical precision of the `calculate_distance` tool directly inside their execution loop. The OpenAI framework registers the tool so your agents can calculate route gaps without manual API plumbing. You get reliable, raw math instead of unreliable text predictions.

Guardrail-backed spatial calculations

This SDK lets you set strict boundaries on agent actions before they execute. When an agent calls `calculate_distance`, the system validates the coordinate bounds before sending the payload, stopping bad data before it hits your backend. If an agent tries to pass invalid coordinates, the safety checks catch the error. You get clean execution logs in your developer dashboard without writing custom validation code.

Agent handoffs with spatial context

Complex logistics require specialized agents. You can have a routing agent pass the exact output of `calculate_distance` to a dispatch agent, keeping the coordinate data intact during the handoff. This structure ensures that your MCP integrations stay clean. Your pipelines run faster because each agent only handles its specific part of the route calculation.

Setup guide

Set up Haversine Distance Engine MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Haversine Distance Engine tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Haversine Distance Engine tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Haversine Distance Engine tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Haversine Distance Engine Agent",
            instructions="You have access to Haversine Distance Engine tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Haversine Distance Engine MCP in OpenAI Agents SDK

Install the package and pass the server URL using MCPServerStreamableHttp. The SDK discovers the `calculate_distance` tool automatically, letting your agent call it during MCP runs.

Yes, every calculation triggered by the tool shows up in your run logs. You can inspect the input coordinates and the returned distances directly inside your tracing UI.

Language models are terrible at spherical geometry. This tool replaces guesswork with the exact mathematical formula, ensuring your agent gets real kilometer and mile figures.

Set the caching parameter to true in your server configuration. This avoids fetching the tool schema repeatedly, keeping your agent's response times low.

No. The server runs in an ephemeral sandbox that processes latitude and longitude inputs instantly and forgets them. Your spatial data is never saved or logged to disk.

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