Osm Tagging Schema MCP

Name: Osm Tagging Schema MCP
Author: gander-tools

by gander-toolsversion 3.0.1i★ –iRuns on your computer

Registry nameio.github.gander-tools/osm-tagging-schema-mcp

Install

Overview

Description from the maker (original English)

MCP server for querying and validating OpenStreetMap tags

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 70/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "osm-tagging-schema": {
      "command": "npx",
      "args": [
        "-y",
        "@gander-tools/osm-tagging-schema-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add osm-tagging-schema -- npx -y @gander-tools/osm-tagging-schema-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "osm-tagging-schema": {
      "command": "npx",
      "args": [
        "-y",
        "@gander-tools/osm-tagging-schema-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "osm-tagging-schema": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@gander-tools/osm-tagging-schema-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account gander-tools, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 18498 servers in this category
Published to the registry more recently than 1% of the other 18498 servers in this category
Basic checks equal to or better than 100% of the other 18498 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Osm Tagging Schema MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (3.0.1) reached the registry 11 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Readfirst

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

OpenStreetMap Tagging Schema MCP Server

What is this?

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.

Project status

This project is a Proof of Concept. It gives real value in some areas and has known gaps in others, both described honestly below.

It works with the latest tagging schema, @openstreetmap/id-tagging-schema v7.
A better replacement tool is being worked on. It will arrive later than originally planned, and no date is promised.

Bug reports and ideas: open an issue or start a discussion.

How it works

The server runs over stdio (default) or HTTP and exposes the tagging schema as MCP tools. Every tool reads the schema data shipped in @openstreetmap/id-tagging-schema (presets, fields, deprecated tags, translations) and answers from it deterministically. There is no network access to OSM and no AI inside the server: the AI agent calls the tools and interprets the results.

Validation checks a tag against the schema: known key, value allowed by the matching field, deprecated key/value with a suggested replacement.

What works and what doesn't

The tool has limitations. Know what to expect before relying on it: it answers from the schema data only, and a part of the tags that exist in the wild or on the OSM wiki is not covered.

Tool	Works	Limitations
`validate_tag`	Popular tags accepted (100%), almost no false `deprecated` alarms (99.2%)	Detects only ~20% of wiki-deprecated tags; typos and foreign values are accepted as valid (custom tags are allowed); `railway=platform` and `railway=station` are wrongly flagged as deprecated
`validate_tag_collection`	Consistent with `validate_tag` (100%)	Same gaps as `validate_tag`; control characters are not reported
`suggest_improvements`	Preset matched for 92% of popular tags	Typos and foreign values usually yield suggestions, not a problem report
`get_tag_values`	97% of taginfo values present; bad keys and limits rejected	A few taginfo values are missing from the lists
`search_tags`	Finds 60% of keys by name	No typo tolerance despite the fuzzy-matching description; keys with a colon (`addr:street`) are often missed; `limit` of 0 or negative not always rejected; `access` returns a `keyMatches` item without `key`
`search_presets`	Preset found for 69% of popular tags (56% in top 3)	Multi-word queries (`bicycle parking`) can return nothing; weak ranking; `limit` of 0 or negative not always rejected
`get_preset_details`	Preset exists for 93% of popular tags; unknown ids always rejected	Some popular tags (e.g. `historic=*`, `craft=grinding_mill`, `railway=stop`) have no preset
`compare_tags`	Matches local computation (100%); text and JSON input give identical output	Compares any tag sets, so it never says a tag is wrong; only malformed input is rejected
`flat_to_json`	Lossless, including `;`, spaces, `=`, Unicode, `:` and `/`	Duplicate keys and control characters are accepted silently
`json_to_flat`	Lossless round-trip (100%); bad input rejected	Keys are not sorted alphabetically, input order is kept

Across all tools, invalid input never crashed the server: errors are readable or the result is an empty list.

Summary

Useful where deterministic logic is enough: format conversion, comparing tag sets, reading presets and values, validating popular tags. Weakest areas: deprecated tag detection and search (typos, multiple words, colon keys).

What this is NOT

⚠️ Important clarifications:

Not a standalone application: This server requires integration with AI systems (like Claude Code or Claude Desktop) to be useful. It has no user interface or web frontend.
Not for direct human use: Without an AI agent as an intermediary, this tool provides no value to end users. It's designed exclusively for programmatic access by LLM applications.

If you're looking for a user-facing OSM tagging tool, consider iD editor or JOSM instead.

Installation

Add the server to Claude Code (stdio):

# npx

claude mcp add --transport stdio osm-tagging-schema -- npx -y @gander-tools/osm-tagging-schema-mcp

Docker

claude mcp add --transport stdio osm-tagging-schema -- docker run -i --rm ghcr.io/gander-tools/osm-tagging-schema-mcp:latest

HTTP transport

stdio is the default. Set TRANSPORT=http to serve over HTTP (streamable, port 3000 in the Docker image):

Variable	Default	Meaning
`TRANSPORT`	`stdio`	`stdio` or `http`
`PORT`	`3000`	HTTP port
`HOST`	`0.0.0.0`	HTTP bind address
`CORS_ORIGINS`	`http://localhost:6274,https://mcp.ziziyi.com`	Comma-separated allowed CORS origins
`LOG_LEVEL`	`INFO`	`SILENT`, `ERROR`, `WARN`, `INFO`, `DEBUG`

docker run --rm -p 3000:3000 -e TRANSPORT=http ghcr.io/gander-tools/osm-tagging-schema-mcp:latest

Endpoints: GET /health (liveness), GET /ready (schema loaded), GET /version.

License

GNU General Public License v3.0 - See LICENSE file for details.

Osm Tagging Schema MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Readfirst

README from the maker

OpenStreetMap Tagging Schema MCP Server

What is this?

Project status

How it works

What works and what doesn't

Summary

What this is NOT

Installation

Docker

HTTP transport

License