# Map AI. Interactive Geospatial Intelligence Platform

> Map AI is a US geospatial data and AI platform. It provides neighborhood-level demographic, economic,
> health, housing, crime, and environmental data across the United States, powered by the US Census Bureau,
> CDC, FBI UCR/NIBRS, EPA, OpenStreetMap, and BLS. Core capabilities: interactive map visualizations, demographic charts, AI-powered map chat, side-by-side
> location comparison, downloadable neighborhood PDF reports, and a public MCP server for AI agent access.
> All data is queryable at multiple geographic granularities: H3 hex cells (~1-mile resolution), counties,
> states, and the entire US.

## Tools & Features
- [Interactive Map](https://interactive-map-ai.com): US neighborhood-level data visualization and exploration. Browse an interactive map with multiple data layers — demographics, income, housing, crime, health, environment, and more. Click on any location to see detailed data profiles and trends.
- [AI Map Chat](https://interactive-map-ai.com/chat): Conversational AI with interactive map visualization. Ask natural-language questions about any US location and receive data-backed answers — population, income, crime, health, housing, air quality, and more — rendered on a live map.
- [Comparative Location Tool](https://interactive-map-ai.com/comparative-location-tool): Side-by-side comparison of multiple US locations across health, wealth, housing, crime, education, commute, and environment metrics. Useful for relocation research and investment analysis.
- [Neighborhood PDF Reports](https://interactive-map-ai.com/reports): Comprehensive downloadable PDF reports for any US neighborhood covering demographics, income distribution, housing market trends, health indicators, crime rates, schools, and points of interest.
- [Landing site](https://map-ai.co/): Overview of Map AI’s capabilities, data sources, and use cases.

## Data & API

- [Data Sources](https://interactive-map-ai.com/info/data-sources): Full list of data sources — US Census ACS 5-Year Estimates, CDC County Health Rankings, FBI UCR/NIBRS, EPA AQS, OpenStreetMap, BLS, MIT Election Data and Science Lab, MLS/public real-estate records, and proprietary traffic data.
- [Full Data Documentation](https://interactive-map-ai.com/llms-full.txt): Complete machine-readable reference — all 100+ available data fields with API names, units, descriptions, and examples. Covers geography, population, income, education, employment, housing, health, insurance, crime, environment, infrastructure, composite indices, and elections. Also documents the H3 hexagonal grid system, geographic cell types, MCP server tools, and REST API.

## MCP Server (Direct AI Agent Access)

Map AI exposes a public Model Context Protocol (MCP) server. Any MCP-compatible AI agent or LLM client
can query US geospatial data directly without a browser.

- **Endpoint:** `https://interactive-map-ai.com/mcp` — streamable HTTP, no authentication required
- **Tool `getAvailableFeatures`:** Returns the full catalogue of available data fields with API names, units, and descriptions. Call this first to discover what you can query.
- **Tool `getDataAroundLocation`:** Fetches data for the area around a lat/lon point within a given radius (miles). Accepts a list of `apiName` fields, latitude, longitude, and `radiusMiles`.
- **Tool `getDataForAdministrativeRegion`:** Fetches data for a US state, county (by FIPS code), or the entire country. No coordinates needed.

### MCP Client Configuration

```json
{
  "mcpServers": {
    "map-ai": {
      "url": "https://interactive-map-ai.com/mcp"
    }
  }
}
```

## Optional

- [llms-full.txt](https://interactive-map-ai.com/llms-full.txt): Extended machine-readable documentation for LLMs — complete data dictionary, geographic cell types, H3 grid explanation, and API reference.