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 AutoGen 10 tools — connect in under 2 minutes

Name: Placer.ai
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Placer.ai as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="placerai_agent",
            tools=tools,
            system_message=(
                "You help users with Placer.ai. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Placer.ai tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

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

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from Placer.ai automatically

Why Use AutoGen with the Placer.ai MCP Server

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

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Placer.ai tools to solve complex tasks

Role-based architecture lets you assign Placer.ai tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Placer.ai tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Placer.ai tool responses in an isolated environment

Placer.ai + AutoGen Use Cases

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

Collaborative analysis: one agent queries Placer.ai while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Placer.ai, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Placer.ai data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Placer.ai responses in a sandboxed execution environment

Placer.ai MCP Tools for AutoGen (10)

These 10 tools become available when you connect Placer.ai to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Placer.ai + AutoGen FAQ

Common questions about integrating Placer.ai MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Placer.ai tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.