Plugin
Turn location questions into instant, data-driven insights powered by real-world foot traffic, POI, demographics data and more
Why Use the Factori AI Plugin?
While Factori MCP gives Claude access to Factori's location intelligence platform, the Factori AI Plugin adds a curated layer of specialized skills on top. Each skill is designed to understand a specific business question - such as site selection, market analysis, audience profiling, competitive benchmarking, trade area analysis, or OOH planning and automatically invokes the appropriate Factori tools behind the scenes.
The Plugin handles the orchestration and returns structured, decision-ready insights with consistent outputs and recommendations.
In short, the Plugin transforms Factori MCP from a collection of tools into a set of purpose-built location intelligence workflows.
Available Skills
| Skill | Description |
|---|---|
| site-selection | Scores a location from 1–10 for opening a business based on traffic, demographics, catchment, competition, and opportunity. Returns an Open / Caution / Pass recommendation. |
| area-intelligence | Profiles the commercial landscape of an area, including business clusters, top categories, leading brands, ratings, price tiers, and traffic momentum. Returns a Vibrant / Stable / Soft verdict. |
| area-pulse-analysis | Analyzes an area's daily rhythm, including peak hours, morning/day/night visitation patterns, late-night activity, and weekday versus weekend trends. |
| trade-area-deep-dive | Maps a location's trade area and audience, including visit volume, demographics, visitation patterns, and where visitors travel from. |
| market-quality | Measures market saturation, competitive density, weak-player share, pricing gaps, and opportunity. Returns an Enter / Differentiate / Avoid recommendation. |
| audience-build | Builds a detailed audience profile for a location's visitors, including demographics, origins, and differences from nearby residents. |
| competitive-intelligence | Compares two locations side-by-side on traffic, visitor demographics, and audience quality to identify strengths and weaknesses. |
| cannibalization-analysis | Estimates customer overlap between existing and proposed locations and returns a Go / No-Go / Adjust recommendation. |
| closure-impact-analysis | Models customer redistribution after a location closes, including retained demand, lost demand, and competitor capture. |
| ooh-planner | Evaluates billboard and OOH placements using impressions, traffic patterns, audience composition, and target-market fit. |
Installation
Claude.ai / Desktop
- Ensure Factori MCP is connected. Add Factori as a custom connector using,
- MCP Server URL : https://mcp.factori.ai/mcp
- Download Plugin here : Factori AI Plugin
- Add the Plugin in Claude
- Open Claude (browser or desktop)
- Click Customize
- Next to Personal plugins, click '+'
- Select Create plugin → Upload plugin
- Upload the downloaded ZIP file
- Done The Factori AI skills are now ready to use directly in chat.
Claude Code & CLI
Run the following commands to install the plugin
macOS / Linux
curl -fsSL [https://raw.githubusercontent.com/Factori-AI/factori-mcp-plugin/main/install.sh](https://raw.githubusercontent.com/Factori-AI/factori-mcp-plugin/main/install.sh) | bashWindows (PowerShell)
irm [https://raw.githubusercontent.com/Factori-AI/factori-mcp-plugin/main/install.ps1](https://raw.githubusercontent.com/Factori-AI/factori-mcp-plugin/main/install.ps1) | iexWhat happens after installation?
The installer automatically:
- Installs the Factori MCP connector
- Registers all Factori skills
- Configures authentication
- Enables location intelligence inside Claude Code & CLI
Example Prompts
| Skill | Example |
|---|---|
| site-selection | I want to open a coffee shop in the Mission District, San Francisco. Is this a good location based on competition, foot traffic, and market growth? |
| area-intelligence | Give me a commercial landscape profile of Ponce City Market. Analyze business clusters, top categories, leading brands, ratings, price tiers, and traffic momentum. Conclude with a Vibrant, Stable, or Soft verdict. |
| area-pulse-analysis | Show me the time-of-day foot traffic profile for Buckhead, Atlanta. Break down peak activity by morning, daytime, evening, and late night, including weekday versus weekend patterns. |
| trade-area-deep-dive | Who visits Pike Place Market, Seattle, and where do they come from? Analyze visitor volume, demographics, visitation patterns, and the market's catchment area. |
| market-quality | Is the retail and dining market around Lenox Square saturated? Analyze competition, pricing gaps, and opportunities for differentiation, then provide an Enter, Differentiate, or Avoid recommendation. |
| audience-build | Build an audience profile for visitors to Santa Monica Pier. Identify who they are, where they come from, and how they differ from local residents. |
| competitive-intelligence | Compare the Flatiron District and Union Square, analyzing foot traffic, visitor demographics, and audience quality, and highlight the strengths and weaknesses of each market. |
| cannibalization-analysis | I want to open a new café in Santa Monica but already operate locations in Venice and Culver City. How much customer overlap should I expect? |
| closure-impact-analysis | If I close my store in San Francisco's Financial District, where will customers go, how many will I retain, and how much demand will shift to nearby competitors? |
| ooh-planner | Evaluate a billboard placement on Peachtree Street in Atlanta, including estimated daily impressions, peak viewing hours, passerby demographics, and audience fit. |
Credit Usage
- Unlocking people records requires Factori credits.
- Claude will display the number of credits required and request approval before unlocking any records.
Updated about 17 hours ago
