jagan shanmugam open streetmap mcp

WHAT IT CONNECTS

What jagan shanmugam open streetmap mcp gives an AI Agent

• Geocode addresses and place names to coordinates
• Reverse geocode coordinates to addresses
• Find nearby points of interest
• Get route directions between locations
• Search for places by category within a bounding box
• Suggest optimal meeting points for multiple people
• Explore areas and get comprehensive location information
• Find schools and educational institutions near a location
• Analyze commute options between home and work
• Locate EV charging stations with connector and power filtering
• Perform neighborhood livability analysis for real estate
• Find parking facilities with availability and fee information
• `location://place/{query}`: Get information about places by name or address
• `location://map/{style}/{z}/{x}/{y}`: Get styled map tiles at specified coordinates
• `geocode_address`: Convert text to geographic coordinates
• `reverse_geocode`: Convert coordinates to human-readable addresses
• `find_nearby_places`: Discover points of interest near a location
• `get_route_directions`: Get turn-by-turn directions between locations
• `search_category`: Find places of specific categories in an area
• `suggest_meeting_point`: Find optimal meeting spots for multiple people
• `explore_area`: Get comprehensive data about a neighborhood
• `find_schools_nearby`: Locate educational institutions near a specific 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
• Install the package in development mode:
• Start the server:
• The server will start and listen for MCP requests on the standard input/output.
• Connect to the locally running server
• Get information about San Francisco
• Search for restaurants in the area
• Retrieve comprehensive map data with progress tracking
• Get location information from text queries
• Find nearby points of interest
• Get directions between locations
• Find optimal meeting points
• Explore neighborhoods
• Import the MCP client:
• Initialize the client with your server URL:
• Invoke tools or access resources:
• Sync dependencies and update lockfile:
• Build package distributions:
• Publish to PyPI: