Google Maps MCP serverand Python AI tasks
qbash hosts a Google Maps MCP server you can use in Claude, ChatGPT, Codex, Cursor, Grok Bot and Muse.
Developers use qbash Tasks to write cloud-hosted Python functions that pair Google Maps with models such as Claude and GPT.
MCP server
Build a Google Maps MCP server
Give ChatGPT, Claude and your other AI tools access to Google Maps through one server. You pick which Google Maps tools it shares, and you can add other connectors, memory folders and Tasks to the same server.
How to set it up
- Connect Google Maps on the qbash Connectors page.
- Create an MCP server and add the Google Maps tools you want to share.
- Paste the server URL into your client. It connects with OAuth or an access token.
Python AI task
Write a Google Maps task in Python
A qbash Task is a hosted Python function that calls Google Maps and AI models.
Shortlist nearby cafes for an office event
Search around a location, then ask an inline prompt to pick the strongest options with their addresses and place IDs.
report = qbash.integrations.google_maps.nearby_search(
lat="43.6532",
lng="-79.3832",
radius=1000,
type="cafe",
max_results=10,
)
places = report.get("results", [])
if places:
shortlist = qbash.ai.run_prompt(
slug="google-maps-venue-shortlist",
variables={"places": json.dumps(places)},
)
qbash.output(shortlist)
else:
qbash.output("No cafes were returned near this location.")
Sample nearby_search response
{
"status": "success",
"results": [
{
"name": "Example Cafe",
"address": "100 Example Street",
"lat": 43.654,
"lng": -79.384,
"rating": 4.5,
"place_id": "example-place",
"types": [
"cafe",
"food"
]
}
],
"count": 1
}
What the Google Maps connector can do
- Convert an address, city/state, or zip code to lat/lng coordinates
- Convert lat/lng coordinates to a human-readable address
- Calculate travel time and distance between two points
- Find places near a location by type or keyword
- Get detailed info about a specific place by place_id
- Get timezone information for a lat/lng location
qbash Tasks: AI applications in Python
A Task is a Python function that calls Google Maps, your other connectors and models such as Claude, GPT, Gemini and Grok. qbash hosts and runs it.
Run Tasks on a schedule or from your team's tools
- Deterministic where it counts Write the logic in Python and call a model only for the steps that need judgement, so the rest runs the same way every time.
- Version controlled Every save is a revision you can compare and roll back.
- Logged Each run records its inputs, output, errors and what started it.
- Shared credentials Connections belong to your organization, so a Task keeps working when its author is away.
Google Maps MCP questions
Does Google have an official Google Maps MCP server?
Yes. Google offers Maps Grounding Lite, a managed MCP server at mapstools.googleapis.com. The qbash server calls the Maps web service APIs at maps.googleapis.com with your own key, and the same methods run in Python tasks.
Guides that use Google Maps
Building a Lead Gen Automation Prototype
The most copied lead-gen workflow on n8n scrapes Google Maps and ends in a spreadsheet. Here's the same job rebuilt as an Aisle Task with Google Maps, Apollo.io, HubSpot, and Slack.
Google Maps, Template Node, and Workflow QoL
Google Maps integration (geocode, places, distance, timezone), a new Template node, Google Docs markdown formatting, duplicate workflows/nodes, Condition node booleans, and SRT file support in chat.
Related research connectors
Build a Google Maps task
Write it in Python with AI steps, and qbash hosts it with versions and run logs.
Build a Google Maps MCP server
Pick the Google Maps tools to share and connect ChatGPT, Claude or Grok Bot.