OpenStreetMap MCP

What it does

Connects LLMs to OpenStreetMap (OSM) data, allowing the AI to perform complex location-based tasks, geospatial queries, and neighborhood analysis.

Tools

• geocode_address: Convert text addresses to geographic coordinates.
• reverse_geocode: Convert coordinates to human-readable addresses.
• find_nearby_places: Discover points of interest near a specific location.
• get_route_directions: Get turn-by-turn directions between two locations.
• search_category: Find places of specific categories within a bounding box.
• suggest_meeting_point: Find optimal meeting spots for multiple people.
• explore_area: Get comprehensive data about a specific neighborhood.
• find_schools_nearby: Locate educational institutions near a location.
• analyze_commute: Compare transportation options between home and work.
• find_ev_charging_stations: Locate EV charging infrastructure with filtering.
• analyze_neighborhood: Evaluate neighborhood livability for real estate.
• find_parking_facilities: Locate parking options near a destination.

Installation

Add this to your claude_desktop_config.json:

"mcpServers": {
  "osm-mcp-server": {
    "command": "uvx",
    "args": [
      "osm-mcp-server"
    ]
  }
}

Supported hosts

• Claude Desktop
• Cursor
• Windsurf