MCP & connected tools

Geo-Intellisense speaks the Model Context Protocol — it pulls data from external MCP servers and exposes its own MCP server so any AI agent can do GIS.

MCP (Model Context Protocol) is the open standard for connecting AI to external tools and data — think of it as a universal port between an AI agent and the systems it needs. Geo-Intellisense uses it in both directions.

What MCP is

Instead of a custom integration per source, MCP gives AI one common language, built on three pieces:

  • Tools — actions the AI can run.
  • Resources — data the AI can read for context.
  • Prompts — reusable templates that guide how a tool is used.

We connect to MCP servers

The Data Agent pulls authoritative data from external MCP servers and catalogs. Say “add Sentinel imagery for the Alps” and the data arrives in your workspace — reprojected and ready — with no hunting for sources. (See Data & formats.)

We expose an MCP server

Geo-Intellisense also provides its own MCP server, so any MCP-compatible AI agent (such as Claude or Cursor) can use Geo-Intellisense as a geospatial tool — running spatial operations and getting results back through the same standard.