Radar 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 Radar 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="radar_agent",
tools=tools,
system_message=(
"You help users with Radar. "
"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 Radar MCP Server
Integrate Radar with an AI agent to bring enterprise-level location intelligence directly to your workflow. This server allows the AI to perform complex spatial lookups and geographical computations on your behalf.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Radar 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
- Geocoding & Reverse Geocoding — Convert readable addresses into exact coordinates (latitude/longitude), or vice versa.
- Route Calculation — Determine distance and driving times between multiple locations, predicting transit metrics efficiently.
- Geofencing & Context — Check whether specific coordinates fall within defined geographical boundaries (e.g., regions, stores, administrative borders).
- IP Geolocation — Locate a user or device strictly based on an IP address.
The Radar 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 Radar to AutoGen via MCP
Follow these steps to integrate the Radar 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 Radar automatically
Why Use AutoGen with the Radar MCP Server
AutoGen provides unique advantages when paired with Radar through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Radar tools to solve complex tasks
Role-based architecture lets you assign Radar 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 Radar tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Radar tool responses in an isolated environment
Radar + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Radar MCP Server delivers measurable value.
Collaborative analysis: one agent queries Radar while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Radar, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Radar data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Radar responses in a sandboxed execution environment
Radar MCP Tools for AutoGen (10)
These 10 tools become available when you connect Radar to AutoGen via MCP:
autocomplete
Provides address or place suggestions as a user types
calculate_route_distance
Calculates travel distance and duration between two points
calculate_routing_matrix
Calculates travel times and distances between multiple origins and destinations
forward_geocode
Converts a human-readable address into geographic coordinates (latitude and longitude)
get_location_context
Retrieves contextual information for a location, such as geofences and weather
ip_geocode
Retrieves geographic location information based on an IP address
reverse_geocode
Converts geographic coordinates into a human-readable address
search_geofences
Searches for active geofences near a specific location
search_places
Searches for nearby places (POIs) based on coordinates
validate_address
Validates and cleans up a structured address
Example Prompts for Radar in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Radar immediately.
"Geocode '1600 Amphitheatre Parkway, Mountain View, CA'."
"Find the driving distance between my office in San Francisco (lat, lng) and the San Jose airport."
"Locate the country based on the IP address 8.8.8.8."
Troubleshooting Radar MCP Server with AutoGen
Common issues when connecting Radar to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Radar + AutoGen FAQ
Common questions about integrating Radar 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 Radar 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.
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 Radar to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
