LocuSync Server

A Model Context Protocol (MCP) server providing geospatial tools for AI agents. Enables Claude, GPT, and other LLMs to perform geocoding, routing, spatial analysis, and file operations.

Features

Geocoding: Convert addresses to coordinates and vice versa (via Nominatim/OSM or Pelias)
Batch Geocoding: Geocode multiple addresses in a single request (up to 10)
Elevation Data: Get altitude for points and elevation profiles along paths
Routing: Calculate routes between points with distance, duration, and geometry (via OSRM)
Spatial Analysis: Buffer, intersection, union, distance calculations
File I/O: Read/write Shapefiles, GeoJSON, GeoPackage
CRS Transformation: Convert between coordinate reference systems

Installation

bash

# From PyPI (when published)
pip install locusync-server

# From source
git clone https://github.com/matbel91765/locusync-server.git
cd locusync-server
pip install -e .

Quick Start

With Claude Desktop

Add to your claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "locusync": {
      "command": "uvx",
      "args": ["locusync-server"]
    }
  }
}

Direct Usage

bash

# Run the server
locusync-server

Available Tools

Geocoding

`geocode`

Convert an address to coordinates.

Code

Input: "1600 Pennsylvania Avenue, Washington DC"
Output: {lat: 38.8977, lon: -77.0365, display_name: "White House..."}

`reverse_geocode`

Convert coordinates to an address.

Code

Input: lat=48.8566, lon=2.3522
Output: {display_name: "Paris, Île-de-France, France", ...}

`batch_geocode`

Geocode multiple addresses at once (max 10).

Code

Input: addresses=["Paris, France", "London, UK", "Berlin, Germany"]
Output: {results: [...], summary: {total: 3, successful: 3, failed: 0}}

Elevation

`get_elevation`

Get altitude for a point.

Code

Input: lat=48.8566, lon=2.3522
Output: {elevation_m: 35, location: {lat: 48.8566, lon: 2.3522}}

`get_elevation_profile`

Get elevations along a path.

Code

Input: coordinates=[[2.3522, 48.8566], [2.2945, 48.8584]]
Output: {profile: [...], stats: {min: 28, max: 42, gain: 14}}

Geometry

`distance`

Calculate distance between two points.

Code

Input: lat1=48.8566, lon1=2.3522, lat2=51.5074, lon2=-0.1278
Output: {distance: {meters: 343556, kilometers: 343.56, miles: 213.47}}

`buffer`

Create a buffer zone around a geometry.

Code

Input: geometry={type: "Point", coordinates: [2.3522, 48.8566]}, distance_meters=1000
Output: {geometry: {type: "Polygon", ...}, area_km2: 3.14}

`spatial_query`

Perform spatial operations (intersection, union, contains, within, etc.).

Code

Input: geometry1={...}, geometry2={...}, operation="intersection"
Output: {geometry: {...}}

`transform_crs`

Transform coordinates between CRS.

Code

Input: geometry={...}, source_crs="EPSG:4326", target_crs="EPSG:3857"
Output: {geometry: {...}}

Routing

`route`

Calculate route between two points.

Code

Input: start_lat=48.8566, start_lon=2.3522, end_lat=48.8606, end_lon=2.3376
Output: {distance: {...}, duration: {...}, geometry: {...}, steps: [...]}

`isochrone`

Calculate area reachable within a time limit.

Code

Input: lat=48.8566, lon=2.3522, time_minutes=15, profile="driving"
Output: {geometry: {type: "Polygon", ...}}

Files

`read_file`

Read geospatial files (Shapefile, GeoJSON, GeoPackage).

Code

Input: file_path="data/cities.shp"
Output: {type: "FeatureCollection", features: [...]}

`write_file`

Write features to geospatial files.

Code

Input: features={...}, file_path="output.geojson", driver="GeoJSON"
Output: {file_path: "...", feature_count: 10}

Configuration

Environment variables:

Variable	Default	Description
`NOMINATIM_URL`	`https://nominatim.openstreetmap.org`	Nominatim API URL
`NOMINATIM_USER_AGENT`	`locusync-server/1.0.0`	User agent for Nominatim
`OSRM_URL`	`https://router.project-osrm.org`	OSRM API URL
`OSRM_PROFILE`	`driving`	Default routing profile
`PELIAS_URL`	(empty)	Pelias geocoding API URL
`PELIAS_API_KEY`	(empty)	Pelias API key (optional)
`OPEN_ELEVATION_URL`	`https://api.open-elevation.com`	Open-Elevation API URL
`GIS_DEFAULT_CRS`	`EPSG:4326`	Default CRS
`GIS_TEMP_DIR`	`/tmp/locusync`	Temporary directory

Response Format

All tools return a consistent JSON structure:

config.json

{
  "success": true,
  "data": { ... },
  "metadata": {
    "source": "nominatim",
    "confidence": 0.95
  },
  "error": null
}

Rate Limits

Nominatim: 1 request/second (enforced automatically)
OSRM Demo: Best effort, consider self-hosting for production

Development

bash

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run with coverage
pytest --cov=src/locusync --cov-report=html

# Type checking
mypy src/locusync

# Linting
ruff check src/locusync

Architecture

Code

src/locusync/
├── server.py      # MCP server entry point
├── config.py      # Configuration management
├── utils.py       # Common utilities
└── tools/
    ├── geocoding.py   # geocode, reverse_geocode, batch_geocode
    ├── elevation.py   # get_elevation, get_elevation_profile
    ├── routing.py     # route, isochrone
    ├── geometry.py    # buffer, distance, spatial_query, transform_crs
    └── files.py       # read_file, write_file

License

MIT License - see LICENSE for details.

Contributing

Contributions welcome! Please read the contributing guidelines before submitting PRs.

Roadmap

Pelias geocoding support (higher accuracy)
Elevation/terrain data
Batch geocoding
Valhalla routing integration (native isochrones)
PostGIS spatial queries
Real-time traffic data
ESRI FileGDB full support