Open Streetmap MCP — Data skill for Claude Code
An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data.
How to install Open Streetmap MCP
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open jagan-shanmugam/open-streetmap-mcp and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Open Streetmap MCP does
An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data.
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README
OpenStreetMap (OSM) MCP Server
An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data.
Demo
Meeting Point Optimization

Neighborhood Analysis

Parking Search

Installation
In MCP Hosts like Claude Desktop, Cursor, Windsurf, etc.
`osm-mcp-server`: The main server, available for public use.
"mcpServers": { "osm-mcp-server": { "command": "uvx", "args": [ "osm-mcp-server" ] } }
Features
This server provides LLMs with tools to interact with OpenStreetMap data, enabling location-based applications to:
- 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
Components
Resources
The server implements location-based resources:
location://place/{query}: Get information about places by name or addresslocation://map/{style}/{z}/{x}/{y}: Get styled map tiles at specified coordinates
Tools
The server implements several geospatial tools:
geocode_address: Convert text to geographic coordinatesreverse_geocode: Convert coordinates to human-readable addressesfind_nearby_places: Discover points of interest near a locationget_route_directions: Get turn-by-turn directions between locationssearch_category: Find places of specific categories in an areasuggest_meeting_point: Find optimal meeting spots for multiple peopleexplore_area: Get comprehensive data about a neighborhoodfind_schools_nearby: Locate educational institutions near a specific locationanalyze_commute: Compare transportation options between home and workfind_ev_charging_stations: Locate EV charging infrastructure with filteringanalyze_neighborhood: Evaluate neighborhood livability for real estatefind_parking_facilities: Locate parking options near a destination
Local Testing
Running the Server
To run the server locally:
- Install the package in development mode:
pip install -e .
- Start the server:
osm-mcp-server
- The server will start and listen for MCP requests on the standard input/output.
Testing with Example Clients
The repository includes two example clients in the `examples/`
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