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How to Use the Google Maps Platform MCP in LlamaIndex

Index live Google Maps routes, place data, and geocodes directly into your LlamaIndex vector store for RAG.

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LlamaIndex

Connect Google Maps Platform MCP to LlamaIndex

Create your Vinkius account to connect Google Maps Platform to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Index Live Place Data with LlamaIndex

The `get_place_details` tool feeds rich metadata directly into your LlamaIndex vector store. When your agent calls this tool or `search_nearby_places`, the returned location metadata is indexed directly into your vector store. This lets you run semantic searches over physical business details and reviews. You can query past discovery sessions without hitting the external API again. The agent looks up previously indexed spatial data first, saving API credits while keeping your application grounded in verified location facts.

Ground Routing Queries in Vector Storage

The `get_directions` tool fetches active transit or driving routes to index alongside your historical logs in LlamaIndex. Combine historical route logs with live data. When calculating complex logistics, the agent queries this unified index. It compares live distance calculations from `get_distance_matrix` with past performance data to generate accurate ETA predictions that are free from LLM hallucinations.

Geocoding and Elevation Data Indexing

The `geocode_address` tool maps physical locations to coordinate profiles inside your LlamaIndex document store. The agent uses this tool and `get_elevation` to map physical locations, then writes those coordinate profiles into your LlamaIndex document store. This allows your RAG application to answer complex spatial queries. The agent can retrieve elevation profiles and timezone details from `get_timezone` to contextualize physical site assessments.

Setup guide

Set up Google Maps Platform MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Google Maps Platform MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Google Maps Platform tools.",
)
response = await agent.run("List recent Google Maps Platform data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Google Maps Platform. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Google Maps Platform MCP in LlamaIndex

Initialize the BasicMCPClient for this MCP Server with your Vinkius endpoint, wrap it in a McpToolSpec, and call to_tool_list_async(). You can then pass these tools to your LlamaIndex FunctionAgent.
Yes, you can use the allowed_tools filter when converting the MCP Server tools to LlamaIndex format, restricting the agent to only use specific tools like geocode_address or get_directions.
LlamaIndex forces the agent to ground its answers in the live JSON payloads returned by tools like get_place_details or get_timezone, indexing the raw data to ensure factual accuracy.
Yes. The agent indexes the list of nearby venues returned by search_nearby_places into your vector store, allowing users to query those places using natural language.
This MCP Server handles physical addresses, GPS coordinates, and elevation profiles. Vinkius runs the server in an isolated V8 sandbox, ensuring your location data and API keys are processed in memory and never stored.

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