Factori MCP Server

與真實世界對話，使用 Factori MCP——只需用簡單英文詢問人物、地點、動態與市場。我們打造了第一個專為真實世界資料設計的 MCP 伺服器，讓任何 AI 代理現在都能像查詢網路一樣，查詢這個物理世界。

造訪 factori.ai

文件

The Factori MCP (Model Context Protocol) server connects your AI assistant (Claude, ChatGPT, Cursor, Gemini or any other MCP-compatible client) directly to your Factori workspace, giving it live access to real-world data across places, people, movement and markets in 229 countries.

The problem it solves

Large language models can reason over the internet but they cannot see the physical world, questions about foot traffic, nearby demographics or competitor density require live, structured data that LLMs simply do not have.

Until now, answering these meant stitching together multiple vendors, building custom pipelines and waiting on analysts.

What changes with Factori MCP

Now, you can just ask your AI assistant:

  • Which neighborhoods in my (city) show the highest foot traffic for (retail_category) stores, and how does competitor density vary across these zones?
  • "As a Category Buyer evaluating two candidate locations (address_A) and (address_B) just 2 miles apart: Calculate trade area overlap, expected customer cannibalization rate, and net new customer capture to determine if both sites justify development.”
  • "Working as a VP of Real Estate for a pharmacy chain: Project which neighborhoods will see patient visit demand growth based on population aging trends and healthcare facility density changes over next 24 months."

and get structured, data-backed answers in seconds.

Factori MCP powers the data layer behind the scenes, connecting your AI to the Real World Graph so it can query the physical world as easily as it queries the internet.

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