Mapulus MCP Server for AutoGen 9 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Mapulus 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="mapulus_agent",
tools=tools,
system_message=(
"You help users with Mapulus. "
"9 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 Mapulus MCP Server
Connect your Mapulus account to any AI agent and access deep Australian location intelligence through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Mapulus tools. Connect 9 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
- Statistical Boundaries — Search and list suburbs, postcodes, LGAs, and other Australian geographies
- Demographic Data — Retrieve ABS Census-derived insights on population, income, and housing
- Spatial Analytics — Generate isochrones (catchment areas) and query H3 hexagonal indices
- Location Enrichment — Enrich any lat/lon coordinate with detailed geographic and statistical context
The Mapulus MCP Server exposes 9 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 Mapulus to AutoGen via MCP
Follow these steps to integrate the Mapulus 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 9 tools from Mapulus automatically
Why Use AutoGen with the Mapulus MCP Server
AutoGen provides unique advantages when paired with Mapulus through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Mapulus tools to solve complex tasks
Role-based architecture lets you assign Mapulus 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 Mapulus tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Mapulus tool responses in an isolated environment
Mapulus + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Mapulus MCP Server delivers measurable value.
Collaborative analysis: one agent queries Mapulus while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Mapulus, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Mapulus data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Mapulus responses in a sandboxed execution environment
Mapulus MCP Tools for AutoGen (9)
These 9 tools become available when you connect Mapulus to AutoGen via MCP:
enrich_location
Enrich a location with geographic context
get_boundary_details
g., "poa:2000"). Get details for a specific boundary
get_demographics
Get demographics for a boundary
get_h3_index
Get H3 index for a location
get_isochrone
Generate travel-time boundaries
get_postcode_data
Get data for a specific postcode
list_data_topics
List available data topics
search_boundaries
Search for Australian statistical boundaries
search_suburbs
Search specifically for Australian suburbs
Example Prompts for Mapulus in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Mapulus immediately.
"Search for boundaries matching 'Sydney'."
"Get demographics for postcode 2000."
"Show available data topics."
Troubleshooting Mapulus MCP Server with AutoGen
Common issues when connecting Mapulus to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Mapulus + AutoGen FAQ
Common questions about integrating Mapulus 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 Mapulus with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 Mapulus to AutoGen
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
