“Make Me a Map”: Building a GIS Agent with AgentBricks, MCP, and Lakebase

Geospatial workflows are complex—querying spatial databases and generating visualizations requires specialized expertise. We built an AI agent that takes a Slack message and returns a fully functional map application.

What started as an internal tool for Solution Architects—replacing hours of manual data prep—is now used by customers too.

The architecture: Lakebase serves as the spatial backend (Postgres-compatible with PostGIS), while our MCP server exposes Felt's mapping capabilities to AgentBricks. Users ask for a map in Slack, the agent queries Lakebase, connects to Felt, and posts back a working map.

This talk covers:

• Lakebase as a geospatial engine—Postgres compatibility in a serverless lakehouse
• MCP tools for live connections—wiring Lakebase → Felt directly
• AgentBricks orchestration—multi-step GIS workflows from Slack

Attendees leave with a pattern for building agents that produce working applications, not just answers.