trails-mcp
Provides trail search and geocoding using OpenStreetMap data via Waymarked Trails and Nominatim, enabling finding routes by name, place, or bounding box, and retrieving route details, elevation, and geometry.
Resolves Wikipedia URLs for routes, providing direct access to their Wikipedia pages for additional information.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@trails-mcpFind hiking trails near Zermatt"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
trails-mcp
A multi-service MCP server for outdoor / mapping data. Service 1 wraps the open Waymarked Trails API (recreational routes from OpenStreetMap) and adds OpenStreetMap Nominatim geocoding so trails can be found by place name. Service 2 adds Windy point forecasts for trail weather, marine, and air-quality planning.
Trail search is read-only and needs no API keys. Windy forecasts require a
Point Forecast API key (WINDY_API_KEY).
What the AI can do
Search trails by name or reference code (
GR20,E5, "Pennine Way")Find trails near a place name in one step ("hiking trails near Zermatt")
Find trails inside a lon/lat bounding box
Get full route details: length, operator, description, website, Wikipedia, OSM tags, bbox, sub/super-routes, and (optionally) the full path geometry
Get a route's elevation profile
Get route geometry clipped to a map box (GeoJSON)
Resolve a route's Wikipedia link
Get a guidepost (signpost node)
Get a route's waymarking symbol (SVG shield)
Geocode any place name to coordinates
Get weather/marine/air-quality forecasts at any lat/lon (Windy Point Forecast API)
Browse all Windy models, parameters, and pressure levels with descriptions
All six Waymarked Trails flavours are supported via a flavour parameter on each tool:
hiking (default), cycling, mtb, riding, skating, slopes.
Coordinates: the upstream API speaks Web Mercator (EPSG:3857) internally. This server accepts and returns WGS84 lon/lat everywhere — the conversion is automatic. Route geometry is summarised by default (
geometry_detail: "summary") to keep responses small; pass"full"for every coordinate or"none"to omit geometry.
Related MCP server: Strava MCP Server
Tools
Tool | Purpose |
| Health/last-update of a flavour |
| Fuzzy name/ref search |
| Geocode a place + return nearby routes (primary entrypoint) |
| Routes inside an explicit lon/lat box |
| Batch summary lookup by relation id |
| Full route detail (geometry trimmed by default) |
| Elevation profile |
| Route geometry clipped to a box (GeoJSON) |
| Wikipedia URL for a route |
| Guidepost node detail |
| Waymarking symbol SVG |
| Place name → coordinates (Nominatim) |
| Weather/marine/AQ forecast at lat/lon (Windy; requires API key) |
| Catalog of Windy models, parameters, levels (no API call) |
Install & build
npm install
npm run build # compiles src/ -> dist/
npm test # unit tests for the geo/conversion helpersRequires Node >= 18.18 (developed on Node 22).
Connect to an MCP client
The same stdio command works everywhere; only the config file differs. Run npm run build
first — the config points at dist/index.js.
Claude Code
Either run:
claude mcp add trails -- node /Users/chiragahuja/Desktop/trails-mcp/dist/index.js…or add to ~/.claude.json (global) or a project .mcp.json:
{
"mcpServers": {
"trails": {
"command": "node",
"args": ["/Users/chiragahuja/Desktop/trails-mcp/dist/index.js"]
}
}
}Cursor
Add to ~/.cursor/mcp.json (global) or <project>/.cursor/mcp.json (project-scoped):
{
"mcpServers": {
"trails": {
"command": "node",
"args": ["/Users/chiragahuja/Desktop/trails-mcp/dist/index.js"]
}
}
}Live-development (no build step)
Point the client at the TypeScript source via tsx instead of the built file:
{
"mcpServers": {
"trails": {
"command": "npx",
"args": ["tsx", "/Users/chiragahuja/Desktop/trails-mcp/src/index.ts"]
}
}
}Try it
Use the MCP Inspector:
npm run inspectOr, in a connected client, prompt:
Find hiking trails near Zermatt and show details of the longest one.
…which chains find_routes_near_place → get_route_details.
Configuration (env vars)
Copy .env.example to .env.dev and set your Windy Point Forecast key (create one at
api.windy.com). For local dev, npm run dev loads
.env.dev automatically. For MCP clients, pass env vars in the server config:
{
"mcpServers": {
"trails": {
"command": "node",
"args": ["/path/to/trails-mcp/dist/index.js"],
"env": { "WINDY_API_KEY": "your_point_forecast_key" }
}
}
}Variable | Default | Purpose |
| (unset) | Windy Point Forecast API key (Map/Webcam keys do not work) |
|
|
|
|
| User-Agent sent to upstream APIs (Nominatim requires a descriptive one) |
Architecture
src/
core/ registry, tool type, http, errors, rate limiter, logger, result helpers
geo/ Mercator <-> lon/lat conversion, bbox helpers, geometry trimming
services/
index.ts registerAllServices() — the single place new services plug in
geocoding/ Nominatim client + geocode_place (shared, rate-limited)
waymarked/ Waymarked Trails client, response shapers, and one file per tool
windy/ Windy Point Forecast client, parameter catalog, forecast shapingAdding another service = create src/services/<name>/ with a register() function and add
one call in src/services/index.ts. No existing tool files change. Tool names are namespaced
to avoid collisions, and the registry rejects duplicates.
Attribution & usage
Trail data: © OpenStreetMap contributors, served by Waymarked Trails (Sarah Hoffmann), ODbL.
Geocoding: OpenStreetMap Nominatim — used within its usage policy (max 1 request/sec, descriptive User-Agent), enforced in-process.
Please be considerate with request volume; these are free community services.
License
MIT (this wrapper). Upstream data/services keep their own licenses.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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