MCP Servers

Overture Maps MCP

Python MCP server for querying Overture Maps building footprint data via address search, building lookups, and nearby building listings.

README

Overture Maps MCP

Python MCP server (2025-03-26 spec, streamable HTTP) for querying Overture Maps building footprint data.

Tools

Tool	Description
`address_search(query, limit=5)`	Geocode addresses via Nominatim
`get_building(lat, lon, radius_m=100)`	Get building footprint at a coordinate
`get_building_by_id(id, lat_hint, lon_hint)`	Fetch building by Overture GERS ID
`nearby_buildings(lat, lon, radius_m=200, limit=10)`	List nearby buildings

Deployment

Railway (recommended)

Fork this repo or connect it to Railway
Set environment variables:
- MCP_SERVER_SECRET — bearer token for API auth
- PORT — automatically set by Railway (default 8000)
Railway builds the Dockerfile and deploys

Docker

docker build -t overture-mcp .
docker run -p 8000:8000 -e MCP_SERVER_SECRET=your-secret overture-mcp

Local development

pip install -e ".[dev]"
uvicorn src.overture_mcp.server:app --reload

API

GET /health — health check (no auth required)
POST /mcp — MCP streamable HTTP endpoint (requires Authorization: Bearer <token>)

Auth

Set MCP_SERVER_SECRET to require a bearer token on all MCP requests. Leave unset to disable auth (development only).

Data

Queries the Overture Maps 2026-05-20.0 release (~2.5B buildings globally) stored on AWS S3 (s3://overturemaps-us-west-2). DuckDB reads parquet files directly — no data is downloaded to the server.

Each query uses a bounding-box predicate for partition pruning, so typical requests scan only a small fraction of the dataset.

Connecting to Claude

Add to .claude/settings.json:

{
  "mcpServers": {
    "overture-maps": {
      "transport": "streamable-http",
      "url": "https://your-deployment.railway.app/mcp",
      "headers": {
        "Authorization": "Bearer your-secret"
      }
    }
  }
}

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