Placer.ai MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Placer.ai through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"placerai": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Placer.ai Agent",
instructions:
"You help users interact with Placer.ai " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Placer.ai?"
);
console.log(result.text);
}
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Placer.ai tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Placer.ai MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Placer.ai via MCP
Why Use Mastra AI with the Placer.ai MCP Server
Mastra AI provides unique advantages when paired with Placer.ai through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Placer.ai without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Placer.ai tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Placer.ai + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Placer.ai MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Placer.ai, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Placer.ai as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Placer.ai on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Placer.ai tools alongside other MCP servers
Placer.ai MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Placer.ai to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Placer.ai to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPlacer.ai + Mastra AI FAQ
Common questions about integrating Placer.ai MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Placer.ai with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Placer.ai to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.