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Geocode places with OpenStreetMap and return structured location results fast.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Photon" MCP server from askskill: Run: claude mcp add --transport http 'io-github-pipeworx-io-photon' 'https://gateway.pipeworx.io/photon/mcp'
Use Photon to geocode "100 Century Avenue, Pudong New Area, Shanghai" and return latitude, longitude, normalized address, and match confidence information.
Returns coordinates, a normalized place name, and relevant match result fields.
Use Photon to look up place information near coordinates "39.9042,116.4074" and output the most likely address and administrative divisions.
Returns the matched place name, address hierarchy, and nearby candidate results.
Use Photon to normalize these place names: Central Park New York, Tokyo Station, Brandenburg Gate Berlin. Output the standard name, coordinates, and country/city information for each.
Returns normalized results for each place, ready for analysis or map display.
Geocode, reverse-geocode, and query OpenStreetMap spatial data fast.
Enable AI agents to geocode, search places, and plan routes.
Geocode French addresses, POIs, and cadastral parcels with reverse lookup support.
Query locations, addresses, and map data using natural language.
Connect to the Geomelon geographic API through MCP for location data access.
Query satellite and geospatial data in natural language across multiple formats.