Stadia Maps MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Stadia Maps through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
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: {
"stadia-maps": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Stadia Maps Agent",
instructions:
"You help users interact with Stadia Maps " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Stadia Maps?"
);
console.log(result.text);
}
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 Stadia Maps MCP Server
Imbue your artificial intelligence environment with the geospatial and routing capabilities of Stadia Maps. Seamlessly audit logistical questions and compute optimal transit routes across numerous delivery points without leaving your conversational interface. Empower your assistant to translate standard addresses into precise geographic coordinates, calculate time-and-distance matrices objectively, or parse topographical elevation data efficiently, connecting global mapping infrastructure directly to your local workflows.
Mastra's agent abstraction provides a clean separation between LLM logic and Stadia Maps tool infrastructure. Connect 10 tools through the 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.
What you can do
- Geospatial Coordination — Convert physical addresses into exact coordinates using
forward_geocode, or deduce properties from latitude and longitude viareverse_geocode. - Route Computation — Instruct your AI to generate accurate driving vectors between locations via
calculate_route, and establish extensive routing cost-matrices utilizingcalculate_distance_matrix. - Logistical Optimization — Resolve complex routing problems automatically with
optimized_trip_route, and map exact reachable perimeters utilizingcalculate_isochrone. - Topography & Precision — Align raw GPS tracks to official street networks accurately with
execute_map_matching, and retrieve detailed elevation metrics applyingget_path_elevation.
The Stadia Maps MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Stadia Maps to Mastra AI via MCP
Follow these steps to integrate the Stadia Maps MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Stadia Maps via MCP
Why Use Mastra AI with the Stadia Maps MCP Server
Mastra AI provides unique advantages when paired with Stadia Maps through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Stadia Maps without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Stadia Maps tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Stadia Maps + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Stadia Maps MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Stadia Maps, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Stadia Maps as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Stadia Maps on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Stadia Maps tools alongside other MCP servers
Stadia Maps MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Stadia Maps to Mastra AI via MCP:
autocomplete_location
Provides predictive address suggestions based on partial input
calculate_distance_matrix
Calculates distances and travel times between multiple points
calculate_isochrone
Calculates an area reachable within a specific time or distance
calculate_route
Locations should be a JSON array of {lat, lon}. Costing can be "auto", "bicycle", or "pedestrian". Calculates a route between multiple geographic points
execute_map_matching
Snaps raw GPS points to the road network
forward_geocode
Converts a physical address string into geographic coordinates
get_path_elevation
Retrieves elevation/height data for a specific geographic path
get_timezone
Retrieves the local timezone for specific geographic coordinates
optimized_trip_route
Returns the optimized path. Calculates the most efficient route between multiple stops
reverse_geocode
Converts geographic coordinates into a physical address
Example Prompts for Stadia Maps in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Stadia Maps immediately.
"Locate and securely return the comprehensive latitude and longitude values associated with this address: '1600 Amphitheatre Parkway, Mountain View, CA'."
"Analyze these targeted locations formatting parameters into a complete trip route simulation enforcing an algorithmic analysis assuming optimal routing for automobiles."
Troubleshooting Stadia Maps MCP Server with Mastra AI
Common issues when connecting Stadia Maps to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpStadia Maps + Mastra AI FAQ
Common questions about integrating Stadia Maps MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Stadia Maps with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Stadia Maps to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.