Haversine Distance Engine MCP Server for LlamaIndexGive LlamaIndex instant access to 1 tools to Calculate Distance

Name: Haversine Distance Engine
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Haversine Distance Engine as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

Open in ChatGPT Open in Claude Open in Perplexity

The Haversine Distance Engine MCP Server for LlamaIndex 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Haversine Distance Engine. "
            "You have 1 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Haversine Distance Engine?"
    )
    print(response)

asyncio.run(main())

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.

LlamaIndex agents combine Haversine Distance Engine tool responses with indexed documents for comprehensive, grounded answers. Connect 1 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 1 tools from Haversine Distance Engine

Why Use LlamaIndex with the Haversine Distance Engine MCP Server

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

Data-first architecture: LlamaIndex agents combine Haversine Distance Engine tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Haversine Distance Engine tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Haversine Distance Engine, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Haversine Distance Engine tools were called, what data was returned, and how it influenced the final answer

Haversine Distance Engine + LlamaIndex Use Cases

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

Hybrid search: combine Haversine Distance Engine real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Haversine Distance Engine to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Haversine Distance Engine for fresh data

Analytical workflows: chain Haversine Distance Engine queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Haversine Distance Engine in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Haversine Distance Engine + LlamaIndex FAQ

Common questions about integrating Haversine Distance Engine MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Haversine Distance Engine tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.