Google Maps Platform MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Google Maps Platform as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Google Maps Platform. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Google Maps Platform?"
)
print(response)
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 Google Maps Platform MCP Server
Connect Google Maps Platform to any AI agent and access the world's most accurate location intelligence — from turn-by-turn directions and distance matrices to rich place details and timezone data.
LlamaIndex agents combine Google Maps Platform 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
- Geocoding — Convert any address into precise latitude/longitude coordinates
- Place Details — Get comprehensive info for any business (hours, phone, ratings, reviews)
- Directions & Routing — Calculate routes for driving, walking, cycling, or public transit
- Distance Matrix — Compare travel times and distances between multiple locations
- Nearby Search — Find businesses or points of interest around a specific location
- Elevation & Timezone — Get altitude data and timezone info for any coordinate
The Google Maps Platform 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 Google Maps Platform to LlamaIndex via MCP
Follow these steps to integrate the Google Maps Platform 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 Google Maps Platform
Why Use LlamaIndex with the Google Maps Platform MCP Server
LlamaIndex provides unique advantages when paired with Google Maps Platform through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Google Maps Platform tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Google Maps Platform tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Google Maps Platform, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Google Maps Platform tools were called, what data was returned, and how it influenced the final answer
Google Maps Platform + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Google Maps Platform MCP Server delivers measurable value.
Hybrid search: combine Google Maps Platform real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Google Maps Platform 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 Google Maps Platform for fresh data
Analytical workflows: chain Google Maps Platform queries with LlamaIndex's data connectors to build multi-source analytical reports
Google Maps Platform MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Google Maps Platform to LlamaIndex via MCP:
find_place_from_text
Useful to get the Place ID or location before getting details. Find a place based on a text query
geocode_address
g., "1600 Amphitheatre Parkway, Mountain View, CA") and need the exact GPS coordinates. Returns the formatted address and the place_id. Convert a physical address into geographic coordinates (latitude/longitude)
get_directions
Supports modes: "driving" (default), "walking", "bicycling", "transit". Get travel directions between two points
get_distance_matrix
Origins and destinations can be single or multiple addresses/coordinates separated by pipe (|). Calculate travel distance and time for multiple origins and destinations
get_elevation
Input can be single "lat,lng" or multiple locations. Get elevation data for locations on the earth
get_place_details
Requires a valid Place ID obtained from other search tools. Get detailed information about a specific place using its Place ID
get_timezone
Essential for scheduling across time zones. Get timezone information for a specific location
reverse_geocode
Useful for identifying locations from GPS data. Convert GPS coordinates back into a physical address
search_nearby_places
You can filter by "type" (e.g., "restaurant", "gas_station") or "keyword". Radius is in meters. Search for places of interest near a specific coordinate
Example Prompts for Google Maps Platform in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Google Maps Platform immediately.
"Find the address for 'Statue of Liberty'."
"Get directions from Times Square to Central Park."
"Find coffee shops near 'Pike Place Market'."
Troubleshooting Google Maps Platform MCP Server with LlamaIndex
Common issues when connecting Google Maps Platform to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGoogle Maps Platform + LlamaIndex FAQ
Common questions about integrating Google Maps Platform MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Google Maps Platform 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 Google Maps Platform to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.