Mapulus MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mapulus through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Mapulus Assistant",
instructions=(
"You help users interact with Mapulus. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Mapulus"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 9 tools from Mapulus through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Mapulus, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Mapulus MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from Mapulus
Why Use OpenAI Agents SDK with the Mapulus MCP Server
OpenAI Agents SDK provides unique advantages when paired with Mapulus through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Mapulus + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Mapulus MCP Server delivers measurable value.
Automated workflows: build agents that query Mapulus, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Mapulus, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Mapulus tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Mapulus to resolve tickets, look up records, and update statuses without human intervention
Mapulus MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Mapulus to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Mapulus to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Mapulus + OpenAI Agents SDK FAQ
Common questions about integrating Mapulus MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Mapulus 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 Mapulus to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.