What data sources does osm-mcp-puca use?
It uses the freely available APIs from OSRM (routing), Overpass (querying), and Nominatim (geocoding), all backed by OpenStreetMap volunteer-contributed data.
@jonnymccullagh
Basic information
An MCP server for use with LLM chatbots providing tools related to OpenStreetMap
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"puca": {
"command": "npx",
"args": [
"mcp-remote",
"http://192.168.1.40:3300/sse"
]
}
}
}get_address_by_coordinates
get_distance_between_addresses
get_parking
get_post_offices
get_fast_food_places
get_vacant_buildings
osm-mcp-puca is an MCP server designed for use with LLM chatbots, providing tools related to OpenStreetMap. It is for developers and users who want to query OpenStreetMap data via natural language interfaces.
Integrate the server with any MCP‑compatible client. For Docker, add an OpenAI API Key to .env and run docker compose up -d, then visit http://your.ip.address:3301. For Claude, edit claude_desktop_config.json to include the server’s SSE endpoint. For Python, see the example client.py using Pydantic AI.
It uses the freely available APIs from OSRM (routing), Overpass (querying), and Nominatim (geocoding), all backed by OpenStreetMap volunteer-contributed data.
Yes, when running via Docker you must add your own OpenAI API Key in the `.env` file. No key is mentioned for the other integrations.
The server exposes 13 tools: get_coordinates_for_address, get_address_by_coordinates, get_defibrillators, get_distance_between_addresses, get_distance_between_coords, get_parking, get_toilets, get_post_offices, get_cafes, get_fast_food_places, get_irish_street_names, get_vacant_buildings, and get_overpass_results.
Yes, by adding the server to Claude’s MCP configuration with the command `npx mcp-remote http://<your-ip>:3300/sse`.
Yes, the included Púca UI runs on port 3301 via Docker Compose, allowing direct query entry.
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