Placer.ai MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Placer.ai through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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.
{
"mcpServers": {
"placerai": {
"url": "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.
Windsurf's Cascade agent chains multiple Placer.ai tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Placer.ai MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Placer.ai
Open Cascade and ask: "Using Placer.ai, help me...". 10 tools available
Why Use Windsurf with the Placer.ai MCP Server
Windsurf provides unique advantages when paired with Placer.ai through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Placer.ai + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Placer.ai MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Placer.ai and generate models, types, or handlers based on real API responses
Live debugging: query Placer.ai tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Placer.ai and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Placer.ai data with Cascade's code generation to scaffold entire features in minutes
Placer.ai MCP Tools for Windsurf (10)
These 10 tools become available when you connect Placer.ai to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Placer.ai to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Placer.ai + Windsurf FAQ
Common questions about integrating Placer.ai MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Placer.ai with your favorite client
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Connect Placer.ai to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.