Google Maps Platform MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Google Maps Platform through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"google-maps-platform": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Google Maps Platform, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Google Maps Platform through native MCP adapters. Connect 9 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Google Maps Platform MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 9 tools from Google Maps Platform via MCP
Why Use LangChain with the Google Maps Platform MCP Server
LangChain provides unique advantages when paired with Google Maps Platform through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Google Maps Platform MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Google Maps Platform queries for multi-turn workflows
Google Maps Platform + LangChain Use Cases
Practical scenarios where LangChain combined with the Google Maps Platform MCP Server delivers measurable value.
RAG with live data: combine Google Maps Platform tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Google Maps Platform, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Google Maps Platform tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Google Maps Platform tool call, measure latency, and optimize your agent's performance
Google Maps Platform MCP Tools for LangChain (9)
These 9 tools become available when you connect Google Maps Platform to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Google Maps Platform to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGoogle Maps Platform + LangChain FAQ
Common questions about integrating Google Maps Platform MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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.
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 Google Maps Platform to LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.