Can my AI automatically find the visit trends for a specific location just by its ID?

Yes! Use the `get_trends` tool with the POI ID. Your agent will return day-over-day or week-over-week visit changes for that specific location.

How do I identify the POI ID for a specific store or venue?

Use the `search_poi` tool with keywords like the brand name or address. Your agent will return a list of matching locations along with their unique Placer.ai POI IDs.

Does it support trade area analysis?

Yes! The `get_trade_area` tool retrieves the True Trade Area (TTA) for any POI, providing the geographic boundaries of where the majority of visitors originate.

Placer.ai MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Placer.ai
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Placer.ai as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="placerai_agent",
    instruction=(
        "You help users interact with Placer.ai "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Placer.ai MCP Server

Connect your AI agents to Placer.ai, the leading location intelligence platform. This MCP provides 10 tools to retrieve accurate foot traffic analytics, visitor demographics, and market rankings for millions of locations.

Google ADK natively supports Placer.ai as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Visitation Metrics — Retrieve estimated visits and trends for specific venues and brands with historical context
Demographic Profiles — Understand visitor characteristics, including population estimates and trade area data
Competitive Benchmarking — Access location rankings to compare performance against industry peers and category leaders
Trade Area Analysis — Identify the True Trade Area (TTA) polygon for any point of interest to see where visitors come from

The Placer.ai MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 Placer.ai to Google ADK via MCP

Follow these steps to integrate the Placer.ai MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Placer.ai via MCP

Why Use Google ADK with the Placer.ai MCP Server

Google ADK provides unique advantages when paired with Placer.ai through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Placer.ai

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Placer.ai tools with BigQuery, Vertex AI, and Cloud Functions

Placer.ai + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Placer.ai MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Placer.ai and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Placer.ai tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Placer.ai regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Placer.ai

Placer.ai MCP Tools for Google ADK (10)

These 10 tools become available when you connect Placer.ai to Google ADK via MCP:

get_api_status

Check Placer.ai API operational status

get_demographics

Get visitor demographics estimates

get_poi_details

Get complete details for a specific POI

get_rankings

Get location performance rankings

get_same_store_visits

Retrieve same-store foot traffic metrics

get_trade_area

Get True Trade Area (TTA) coordinates

get_trends

Get visit trends over time

get_visits

Retrieve foot traffic visit counts

list_properties

ai account. List properties associated with your account

search_poi

Search for specific locations or brands

Example Prompts for Placer.ai in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Placer.ai immediately.

"Get the foot traffic trends for POI ID 'poi_123' for the last month."

"Search Placer.ai for 'Walmart' locations in Miami and show their IDs."

"What is the demographic profile for the visitors of POI 'poi_abc'?"

Troubleshooting Placer.ai MCP Server with Google ADK

Common issues when connecting Placer.ai to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Placer.ai + Google ADK FAQ

Common questions about integrating Placer.ai MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.