Placer.ai MCP Server for Claude Code 10 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add Placer.ai as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Placer.ai and 2,500+ MCP Servers from a single visual interface.
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add placerai --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
* 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.
Claude Code registers Placer.ai as an MCP server in a single terminal command. Once connected, Claude Code discovers all 10 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Placer.ai data drives decisions without human intervention.
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 Claude Code 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 Claude Code via MCP
Follow these steps to integrate the Placer.ai MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using Placer.ai
Ask Claude: "Using Placer.ai, show me...". 10 tools are ready
Why Use Claude Code with the Placer.ai MCP Server
Claude Code provides unique advantages when paired with Placer.ai through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using Placer.ai tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Placer.ai + Claude Code Use Cases
Practical scenarios where Claude Code combined with the Placer.ai MCP Server delivers measurable value.
CI/CD integration: embed Placer.ai tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query Placer.ai nightly and generate reports without human intervention
Shell scripting: pipe Placer.ai outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query Placer.ai status endpoints and alert on anomalies
Placer.ai MCP Tools for Claude Code (10)
These 10 tools become available when you connect Placer.ai to Claude Code 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 Claude Code
Ready-to-use prompts you can give your Claude Code 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 Claude Code
Common issues when connecting Placer.ai to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
Placer.ai + Claude Code FAQ
Common questions about integrating Placer.ai MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect Placer.ai with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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.
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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 Claude Code
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.