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"publishedAt": "2026-02-24T11:02:59.000Z",
"site": "https://www.openstreetmap.org",
"tags": [
"**OSM Tagging Schema MCP**",
"**Model Context Protocol (MCP)**",
"**OpenStreetMap**",
"**OpenStreetMap tagging schema**",
"@openstreetmap/id-tagging-schema",
"**3.x release**",
"mcp.gander.tools/osm-tagging",
"gander-tools/osm-tagging-schema-mcp **discussions**"
],
"textContent": "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.\n\nIt 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.\n\nThe 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.\n\nThe 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.\n\nYou can try the service live here: **mcp.gander.tools/osm-tagging**.\n\nI invite you to **experiment** , **test** , and **share feedback** — your ideas and suggestions are always appreciated: gander-tools/osm-tagging-schema-mcp **discussions**",
"title": "Teaching AI to Understand OpenStreetMap Tags"
}