Osm Tagging Schema MCP, developed by Gander Tools, is an mcp server tool designed for AI agents and LLM applications. Built with TypeScript, this free program connects directly to the OpenStreetMap tagging knowledge base. It provides a specialized set of tools for processing, validating, and improving OpenStreetMap data. Distributed as a Docker image and npm package, it offers a structured way for AI systems to interact with complex geographic tagging schemas. The platform supports streamable HTTP, enabling efficient data exchange with compatible AI clients like Claude Code.

What does Osm Tagging Schema MCP connect to?

Osm Tagging Schema MCP connects directly to the OpenStreetMap tagging knowledge base. It specifically utilizes the @openstreetmap/id-tagging-schema library to access and interpret OpenStreetMap data structures. Categorized under "Location Services Open Data Search," this connection allows AI agents to query and interact with a vast repository of geographic tagging information. The tool acts as an interface, providing a structured gateway to the intricacies of OpenStreetMap's data model for automated systems.

Core features and tools

The Osm Tagging Schema MCP exposes several callable tools for managing OpenStreetMap tags. These include compare_tags, flat_to_json, get_preset_details, get_tag_values, improve_tags, json_to_flat, search_presets, search_tags, validate_tag, and validate_tag_collection. These functions enable AI agents to perform actions ranging from converting tag formats and retrieving details about presets to searching for specific tags and validating entire collections against schema rules.

Who is it for?

This program is specifically intended for AI agents and LLM applications, not for direct human use. Its design supports automated processing and analysis of OpenStreetMap data. Developers building AI systems that require precise interaction with geographic tagging schemas will find it valuable. The tool's functions are tailored for machine consumption, making it an essential component for intelligent data processing workflows. This is not the right fit if you intend to use it directly as a human user.

How to get started

No credentials are required. The transport protocol supported is streamable HTTP, accessible at https://mcp.gander.tools/osm-tagging/.

Use cases

• Converting OpenStreetMap tags between flat text and JSON formats, which is crucial for various data processing and storage needs within AI applications.
• Validating individual tags or entire tag collections for correctness, deprecation status, and adherence to established schema compliance rules.
• Analyzing and suggesting enhancements for incomplete or minimal tag collections to improve their data quality and utility for mapping projects.

Osm Tagging Schema MCP by Gander Tools offers specialized capabilities for AI agents working with OpenStreetMap data. Its array of tools supports complex operations from data validation to format conversion. The service is designed for machine-to-machine interaction, providing a structured interface to geographic tagging information. It is a focused solution for AI applications requiring deep engagement with mapping schemas. Start by using validate_tag to check the correctness of an individual OpenStreetMap tag.