by gander-tools
Validate and discover OpenStreetMap tags quickly with preset discovery and validation tools for accurate mapping metadat
Validates and queries OpenStreetMap tagging schemas to ensure your OSM data follows proper tagging conventions. Helps discover correct tag combinations and identifies tagging errors or improvements.
OpenStreetMap Tagging Schema is a community-built MCP server published by gander-tools that provides AI assistants with tools and capabilities via the Model Context Protocol. Validate and discover OpenStreetMap tags quickly with preset discovery and validation tools for accurate mapping metadat It is categorized under developer tools. This server exposes 10 tools that AI clients can invoke during conversations and coding sessions.
You can install OpenStreetMap Tagging Schema in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
GPL-3.0
OpenStreetMap Tagging Schema is released under the GPL-3.0 license.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
OpenStreetMap Tagging Schema has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: OpenStreetMap Tagging Schema surfaces stars and publisher context so we could sanity-check maintenance before adopting.
OpenStreetMap Tagging Schema is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
OpenStreetMap Tagging Schema is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: OpenStreetMap Tagging Schema surfaces stars and publisher context so we could sanity-check maintenance before adopting.
OpenStreetMap Tagging Schema has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend OpenStreetMap Tagging Schema for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, OpenStreetMap Tagging Schema benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
OpenStreetMap Tagging Schema reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We evaluated OpenStreetMap Tagging Schema against two servers with overlapping tools; this profile had the clearer scope statement.
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This is a Model Context Protocol (MCP) server designed specifically for AI agents and LLM applications. It acts as a bridge between artificial intelligence systems and the comprehensive OpenStreetMap tagging knowledge base provided by the official @openstreetmap/id-tagging-schema library.
Current Status: Production-ready MCP server, actively maintained and continuously improved. The service is deployed and accessible at https://mcp.gander.tools/osm-tagging/.
We welcome your feedback! Have ideas for improvements? Found a bug? Want to discuss features? Please open an issue or start a discussion.
⚠️ Important clarifications:
If you're looking for a user-facing OSM tagging tool, consider iD editor or JOSM instead.
7 MCP Tools organized into 3 categories:
📖 Full tool reference: docs/api/
# No installation needed - run directly
npx @gander-tools/osm-tagging-schema-mcp
# Run with stdio transport
docker run -i ghcr.io/gander-tools/osm-tagging-schema-mcp:latest
📖 More options: docs/user/installation.md (source installation, verification, troubleshooting)
# Add to Claude Code
claude mcp add --transport stdio osm-tagging-schema -- npx -y @gander-tools/osm-tagging-schema-mcp
# Use in conversations
# Ask Claude: "What OSM tags are available for restaurants?"
# Ask Claude: "Validate these tags: amenity=parking, capacity=50"
Add to your Claude Desktop configuration:
{
"mcpServers": {
"osm-tagging-schema": {
"command": "npx",
"args": ["@gander-tools/osm-tagging-schema-mcp"]
}
}
}
📖 Next steps:
Test and debug the server using the official MCP Inspector:
# Test published package (quickest)
npx @modelcontextprotocol/inspector npx @gander-tools/osm-tagging-schema-mcp
# Test Docker image
npx @modelcontextprotocol/inspector docker run --rm -i ghcr.io/gander-tools/osm-tagging-schema-mcp
The Inspector provides an interactive web UI to test all tools, inspect responses, and debug issues.
📖 Complete inspection guide: docs/development/inspection.md (includes HTTP transport testing)
Built with Test-Driven Development (TDD) and Property-Based Fuzzing:
npm install # Install dependencies
npm test # Run all tests
npm run test:fuzz # Run fuzz tests
npm run build # Build for production
📖 Development guides: docs/development/development.md | docs/development/fuzzing.md
Contributions welcome! This project follows Test-Driven Development (TDD).
npm installnpm test📖 Guidelines: docs/development/contributing.md
Choose your path:
| I want to... | Go to |
|---|---|
| Install and run the server | Installation Guide |
| Configure with Claude Code/Desktop | Configuration Guide |
| Learn how to use the tools | Usage Guide → API Reference |
| Test and debug the server | Inspection Guide |
| Deploy in production (HTTP/Docker) | Deployment Guide |
| Fix issues or errors | Troubleshooting Guide |
| Contribute to the project | Contributing Guide |
User Guides:
Developer Docs:
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.