Agentic AI for ArcGIS Location Platform enables AI agents to interact with location services, automate location-based tasks, and integrate geographic context into broader workflows. It provides a framework for connecting AI tools to ArcGIS Location Services through the Model Context Protocol (MCP).

What is agentic AI for ArcGIS Location Platform?

You can use AI agents with ArcGIS Location Platform through the Model Context Protocol (MCP). MCP enables AI tools to discover and use ArcGIS Location Services in agentic workflows.

MCP connects an AI tool to location capabilities so an agent can select the appropriate service for a task, use location context in its reasoning, and return results that support a larger workflow.

With MCP, you can build applications that:

  • Find and transform locations: Transform addresses, places, and geographic coordinates into actionable location data with geocoding.
  • Plan movement: Generate routes, directions, and travel time estimates to support transportation, logistics, and field workforce scenarios.
  • Understand terrain: Access elevation information for locations to enhance analysis involving terrain, visibility, and environmental factors.
  • Visualize results: Create static maps that visualize geographic data in reports, dashboards, and automated workflows.
  • Add location context: Enrich locations with demographic data to support site selection, market analysis, customer segmentation, and business intelligence use cases.

MCP support for ArcGIS Location Services

The table below summarizes which ArcGIS Location Services can be accessed through MCP. Select a service to learn more about its capabilities and usage.

Next steps

To connect an AI agent to ArcGIS Location Services, see MCP for ArcGIS Location Services (beta).