Google Maps MCP Server

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Local business search and lead generation via Google Maps

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Google Maps Leads MCP — Local Business Data for Agents (nexgendata/google-maps-mcp-server) Actor

MCP server exposing local-business search, lead generation and email validation as agent tools. Connect Claude, Cursor, n8n or the OpenAI Agents SDK.

- URL:https://apify.com/nexgendata/google-maps-mcp-server.md
- Developed by:
NexGenData(community)
- Categories:AI, Lead generation, MCP servers
- Stats:17 total users, 5 monthly users, 100.0% runs succeeded, 0 bookmarks
- User rating: No ratings yet

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more:https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A".

If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows.

- AI agents and MCP clients— theApify MCP serverathttps://mcp.apify.com(remote, streamable HTTP, OAuth on first use).
- Agentic workflows and local Actor development
Agent Skillswith theApify CLI:npm install -g apify-cli, thenapify login.
- JavaScript/TypeScript projects— the official
JS/TS client:npm install apify-client.
- Python projects— the official
Python client:pip install apify-client.
- Any other language— the
REST API.

For usage examples, see theAPIsection below.

For more details, see Apify documentation asMarkdown indexandMarkdown full-text.

A Model Context Protocol server that gives AI agents local-business data — map-listing search, lead generation and email validation — as callable tools. For sales, lead-gen and local-marketing agents.

- generate_leads— Generate business leads from local listings.
- search_local_businesses— Search local businesses by area and category.
- validate_emails— Validate email addresses.

🔌 Connect (Claude Desktop / Cursor / n8n / OpenAI Agents SDK)

Add this MCP server to your client config:

{ "mcpServers": { "google-maps": { "url": "https://nexgendata--google-maps-mcp-server.apify.actor/mcp" } } }
Find coffee shops in Austin, generate a lead list, and validate their emails.

Pricing:$0.02 per tool call (Pay-Per-Event). Runs in Standby mode.

What tools does this server expose?Three:search_local_businesses,generate_leads, andvalidate_emails. Nothing else.

Does it handle multiple regions?Yes — pass any location; coverage follows Google Maps itself.

Is the schema stable for AI agents?Yes — each tool returns a stable JSON shape with documented field names.

Auth?Apify token only. No Google Cloud billing project required.

Cost?Pay-per-event — you only pay for the tool calls your agent actually makes.

NexGenData publishes a large catalog of buyer-intent and data actors, all pay-per-result. Browse the full catalog athttps://apify.com/nexgendata

Every NexGenData actor usespay-per-eventpricing — you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

- Actor Start:a single-event charge each time you spin the actor up (scaled to memory size)
- Result / tool call:charged per MCP tool call
- No chargefor retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform

New to Apify? Sign up with the NexGenDatareferral link— you get free platform credits on signup and help fund the maintenance of this actor fleet.

Every actor in the NexGenData catalog can be triggered from:

- Apify console— point-and-click run
- Apify API— REST + webhooks
- Apify Python / JS SDKs— programmatic batch
- Zapier, Make.com, n8n— official integrations
- MCP— exposed as MCP tools for Claude / ChatGPT / Cursor agents
- Schedules— built-in cron for daily / weekly / monthly runs
- Webhooks— POST results to any HTTPS endpoint on dataset write

NexGenData maintains a large catalog of Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours.

Home:thenextgennexus.comFull catalog:apify.com/nexgendata

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '<YOUR_API_TOKEN>' with your token const client = new ApifyClient({ token: '<YOUR_API_TOKEN>', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/google-maps-mcp-server").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '<YOUR_API_TOKEN>' with your token. client = ApifyClient("<YOUR_API_TOKEN>") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("nexgendata/google-maps-mcp-server").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
echo '{}' | apify call nexgendata/google-maps-mcp-server --silent --output-dataset
{ "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,nexgendata/google-maps-mcp-server" } } }

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send anAuthorization: Bearer <APIFY_API_TOKEN>header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

Download the OpenAPI definition:https://api.apify.com/v2/actors/SXNjE9PGIstaB77LK/builds/qbQtwt8JdRWiVjjlq/openapi.json

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