OpenStreetMap MCP Server

Overview

This is a Go OpenStreetMap MCP server. It implements the Model Context Protocol to enable LLMs to interact with geospatial data.

Our focus is on precision, performance, maintainability, and ease of integration with MCP desktop clients.

Features

The server provides LLMs with tools to interact with OpenStreetMap data, including:

• Geocoding addresses and place names to coordinates
• Reverse geocoding coordinates to addresses
• Finding nearby points of interest
• Calculating routes and getting directions between locations
• Searching for places by category within a bounding box
• Suggesting optimal meeting points for multiple people
• Exploring areas and getting comprehensive location information
• Finding EV charging stations near a location
• Finding EV charging stations along a route
• Analyzing commute options between home and work
• Performing neighborhood livability analysis
• Finding schools near a location
• Finding parking facilities

Implemented Tools

Tool Name	Description	Example Parameters
bbox_from_points	Create a bounding box that encompasses all given geographic coordinates	{"points": [{"latitude": 37.7749, "longitude": -122.4194}, {"latitude": 37.8043, "longitude": -122.2711}]}
centroid_points	Calculate the geographic centroid (mean center) of a set of coordinates	{"points": [{"latitude": 37.7749, "longitude": -122.4194}, {"latitude": 37.8043, "longitude": -122.2711}]}
enrich_emissions	Enrich route options with CO2 emissions, calorie burn, and cost estimates	{"options": [{"mode": "car", "distance": 5000}, {"mode": "bike", "distance": 4500}]}
filter_tags	Filter OSM elements by specified tags	{"elements": [...], "tags": {"amenity": ["restaurant", "cafe"]}}
geocode_address	Convert an address or place name to geographic coordinates	{"address": "1600 Pennsylvania Ave, Washington DC"}
geo_distance	Calculate the distance between two geographic coordinates	{"from": {"latitude": 37.7749, "longitude": -122.4194}, "to": {"latitude": 37.8043, "longitude": -122.2711}}
get_map_image	Retrieve and display an OpenStreetMap image for analysis	{"latitude": 37.7749, "longitude": -122.4194, "zoom": 14}
osm_query_bbox	Query OpenStreetMap data within a bounding box with tag filters	{"bbox": {"minLat": 37.77, "minLon": -122.42, "maxLat": 37.78, "maxLon": -122.41}, "tags": {"amenity": "restaurant"}}
polyline_decode	Decode an encoded polyline string into a series of geographic coordinates	{"polyline": "a~l~FfynpOnlB_pDhgEhjD"}
polyline_encode	Encode a series of geographic coordinates into a polyline string	{"points": [{"latitude": 37.7749, "longitude": -122.4194}, {"latitude": 37.8043, "longitude": -122.2711}]}
reverse_geocode	Convert geographic coordinates to a human-readable address	{"latitude": 38.8977, "longitude": -77.0365}
route_fetch	Fetch a route between two points using OSRM routing service	{"start": {"latitude": 37.7749, "longitude": -122.4194}, "end": {"latitude": 37.8043, "longitude": -122.2711}, "mode": "car"}
route_sample	Sample points along a route at specified intervals	{"polyline": "a~l~FfynpOnlB_pDhgEhjD", "interval": 100}
sort_by_distance	Sort OSM elements by distance from a reference point	{"elements": [...], "ref": {"latitude": 37.7749, "longitude": -122.4194}}
find_nearby_places	Find points of interest near a specific location	`{"latitude": 37.7749, "longitude": -122.4194, "radius": 1000, "category": "restaurant",

... View full README on GitHub