How do I find my Mapulus API Key?

Log in to Mapulus, go to Profile > API Keys, and you can generate your key there.

What regions are covered by Mapulus?

Mapulus specializes in Australian geographic and statistical data (ABS Census boundaries).

Is my API Key secure?

Absolutely. Your token is encrypted at rest and injected securely at runtime.

Mapulus MCP Server for LlamaIndex 9 tools — connect in under 2 minutes

Name: Mapulus
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mapulus as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Mapulus. "
            "You have 9 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Mapulus?"
    )
    print(response)

asyncio.run(main())

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About Mapulus MCP Server

Connect your Mapulus account to any AI agent and access deep Australian location intelligence through natural conversation.

LlamaIndex agents combine Mapulus tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Mapulus MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Mapulus

Why Use LlamaIndex with the Mapulus MCP Server

LlamaIndex provides unique advantages when paired with Mapulus through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Mapulus tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Mapulus tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Mapulus, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Mapulus tools were called, what data was returned, and how it influenced the final answer

Mapulus + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Mapulus MCP Server delivers measurable value.

Hybrid search: combine Mapulus real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Mapulus to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Mapulus for fresh data

Analytical workflows: chain Mapulus queries with LlamaIndex's data connectors to build multi-source analytical reports

Mapulus MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Mapulus to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting Mapulus to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Mapulus + LlamaIndex FAQ

Common questions about integrating Mapulus MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Mapulus tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.