Teaching AI to Understand OpenStreetMap Tags

A few months ago, I worked on a new project: the OSM Tagging Schema MCP — a Model Context Protocol (MCP) server built for AI assistants and LLM applications that interact with OpenStreetMap tagging data.

It serves as a bridge between AI systems and the official OpenStreetMap tagging schema, allowing agents to validate tags , query values , search presets , and suggest improvements using the structured knowledge from the @openstreetmap/id-tagging-schema library.

The current 3.x release is technically stable — all tools and endpoints work reliably without errors — but it should still be considered experimental. Active development on version 3 has ended; for now, I only maintain it through dependency updates.

The next major step will be version 4 , a complete rewrite developed with AI-assisted coding , focusing on a cleaner architecture, long-term maintainability, and deeper MCP integration.

You can try the service live here: mcp.gander.tools/osm-tagging.

I invite you to experiment , test , and share feedback — your ideas and suggestions are always appreciated: gander-tools/osm-tagging-schema-mcp discussions