Factori MCP

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.

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.

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.

Slingshot MCP introduces Slingshot Aerospace’s space data platform in your AI chat—explore satellites, orbits, and Portal insights through Slingshot’s hosted server.

Access data on 261 countries and 13.4 million cities — population, GDP, geography, rankings, and comparisons. Built for Claude, Cursor, and AI agents.

Access ERDDAP servers worldwide to search, discover, and retrieve oceanographic and environmental scientific datasets.

AI-powered property zoning, buildability, and ADU eligibility analysis for any U.S. address via 20+ government data sources.

An MCP (Model Context Protocol) server for searching and analyzing academic papers across multiple databases (Semantic Scholar, Crossref, OpenAlex, PubMed), with regex-powered filtering and statistical analysis.

US land due-diligence MCP — returns solar potential, groundwater depth, flood zones, and county regulations for any property address.

Eleven MCP servers for reproducible EPA SWMM stormwater modelling — building, simulation, calibration, GIS, climate scenarios, uncertainty, plotting, and modelling memory.

Search scientific papers with structured experimental data extracted from full-text studies. Returns 25+ fields per paper including methods, results, sample sizes, limitations, and quality scores.

Search and access clinical trial data from ClinicalTrials.gov.

DC Hub — Data Center Intelligence MCP Server