Analyze OpenStreetMap tags to identify feature types, compare against preset requirements, and suggest missing required fields and recommended optional tags for improved data quality.
Validate complete OpenStreetMap tag collections against the tagging schema to check for deprecated tags, identify conflicts, and ensure compatibility before uploading or analyzing data quality.
Retrieve comprehensive tagging details for OpenStreetMap features, including required tags, field specifications, geometry types, and preset relationships to ensure proper map annotation.
Find OpenStreetMap tags by keyword to discover mapping vocabulary, locate correct tags from partial names, or explore tags in categories with fuzzy matching support.
A comprehensive MCP server providing 30 tools for geocoding, routing, and OpenStreetMap data analysis. It enables AI assistants to search for locations, calculate travel routes, and perform quality assurance checks on map data.
Enhances LLM capabilities with location-based services and geospatial data, enabling users to geocode addresses, find nearby points of interest, get directions, optimize meeting points, and analyze neighborhoods.
Provides AI agents access to OpenStreetMap's comprehensive tagging knowledge base, enabling tag queries, preset discovery, and validation of OSM tags for mapping applications.