Stadia Maps MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Stadia Maps as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="stadia_maps_agent",
tools=tools,
system_message=(
"You help users with Stadia Maps. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Stadia Maps tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Stadia Maps MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Stadia Maps automatically
Why Use AutoGen with the Stadia Maps MCP Server
AutoGen provides unique advantages when paired with Stadia Maps through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Stadia Maps tools to solve complex tasks
Role-based architecture lets you assign Stadia Maps tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Stadia Maps tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Stadia Maps tool responses in an isolated environment
Stadia Maps + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Stadia Maps MCP Server delivers measurable value.
Collaborative analysis: one agent queries Stadia Maps while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Stadia Maps, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Stadia Maps data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Stadia Maps responses in a sandboxed execution environment
Stadia Maps MCP Tools for AutoGen (10)
These 10 tools become available when you connect Stadia Maps to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Stadia Maps to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Stadia Maps + AutoGen FAQ
Common questions about integrating Stadia Maps MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
