Google Maps MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Google Maps as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in Google Maps?"
)
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 MCP Server
Connect your Google Maps Platform account to any AI agent and take full control of your geospatial intelligence, place discovery, and routing through natural conversation.
LlamaIndex agents combine Google Maps tool responses with indexed documents for comprehensive, grounded answers. Connect 4 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 Orchestration — Convert physical addresses or location names into precise geographic coordinates (Latitude/Longitude) translating human readable locations into spatial API bounds flawlessly
- Place Discovery — Finds physical entities within Google Maps database matching text queries like 'Restaurants in New York', retrieving critical PlaceIDs for deep introspection natively
- Rich Metadata Retrieval — Retrieve deep details of specific places including phone numbers, user reviews, opening hours, and websites using PlaceIDs to bypass generic search arrays synchronously
- Route & ETA Calculation — Triggers routing engine identifying physical transit maps resolving directions, distance, and optimal time calculations between origin and destination bounds flawlessly
- Travel Mode Support — Execute directions queries for driving, walking, bicycling, or transit modes to verify travel logistics and ETAs synchronously across your environment
- Geospatial Intelligence — Analyze specific localized coordinates to verify presence and proximity of businesses or landmarks within the Google Maps ecosystem securely
The Google Maps MCP Server exposes 4 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 to LlamaIndex via MCP
Follow these steps to integrate the Google Maps 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 4 tools from Google Maps
Why Use LlamaIndex with the Google Maps MCP Server
LlamaIndex provides unique advantages when paired with Google Maps through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Google Maps tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Google Maps tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Google Maps, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Google Maps tools were called, what data was returned, and how it influenced the final answer
Google Maps + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Google Maps MCP Server delivers measurable value.
Hybrid search: combine Google Maps real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Google Maps 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 for fresh data
Analytical workflows: chain Google Maps queries with LlamaIndex's data connectors to build multi-source analytical reports
Google Maps MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect Google Maps to LlamaIndex via MCP:
directions
Calculate ETA, distance, and optimal route directions between origin and destination
geocode
Convert an address or location name into precise geographic coordinates (Latitude / Longitude)
place_details
Get deep details of a specific Place (Phone number, reviews, opening hours, website) using its PlaceID
place_search
Search for businesses, restaurants, or spots (e.g. "Pizza in New York", "Hospitals near me")
Example Prompts for Google Maps in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Google Maps immediately.
"Geocode this address: '1600 Amphitheatre Pkwy, Mountain View, CA'"
"Find pizza restaurants in Brooklyn and show me details for the best one"
"Get directions from San Francisco to San Jose by train"
Troubleshooting Google Maps MCP Server with LlamaIndex
Common issues when connecting Google Maps to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGoogle Maps + LlamaIndex FAQ
Common questions about integrating Google Maps 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 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 to LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.