Haversine Distance Engine MCP Server for Google ADKGive Google ADK instant access to 1 tools to Calculate Distance
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Haversine Distance Engine as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Haversine Distance Engine MCP Server for Google ADK 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
Geminifrom google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="haversine_distance_engine_agent",
instruction=(
"You help users interact with Haversine Distance Engine "
"using 1 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Haversine Distance Engine as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK
When Google ADK 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 Google ADK via MCP
Follow these steps to wire Haversine Distance Engine into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Haversine Distance Engine MCP Server
Google ADK provides unique advantages when paired with Haversine Distance Engine through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Haversine Distance Engine
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Haversine Distance Engine tools with BigQuery, Vertex AI, and Cloud Functions
Haversine Distance Engine + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Haversine Distance Engine MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Haversine Distance Engine and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Haversine Distance Engine tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Haversine Distance Engine regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Haversine Distance Engine
Example Prompts for Haversine Distance Engine in Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Haversine Distance Engine to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkHaversine Distance Engine + Google ADK FAQ
Common questions about integrating Haversine Distance Engine MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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