Haversine Distance Engine MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 1 tools to Calculate Distance
GDPR Free for SubscribersThe OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Haversine Distance Engine through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The Haversine Distance Engine MCP Server for OpenAI Agents 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 asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Haversine Distance Engine Assistant",
instructions=(
"You help users interact with Haversine Distance Engine. "
"You have access to 1 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Haversine Distance Engine"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 1 tools from Haversine Distance Engine through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Haversine Distance Engine, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK
When OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to wire Haversine Distance Engine into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Haversine Distance Engine MCP Server
OpenAI Agents SDK provides unique advantages when paired with Haversine Distance Engine through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Haversine Distance Engine + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Haversine Distance Engine MCP Server delivers measurable value.
Automated workflows: build agents that query Haversine Distance Engine, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Haversine Distance Engine, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Haversine Distance Engine tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Haversine Distance Engine to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Haversine Distance Engine in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Haversine Distance Engine to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Haversine Distance Engine + OpenAI Agents SDK FAQ
Common questions about integrating Haversine Distance Engine MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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