Skip to main content

MCP Server for geospatial operations - geocoding, routing, spatial analysis

Project description

LocuSync Server

PyPI version Python 3.11+ License: MIT CI

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

# 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:

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

Direct Usage

# Run the server
locusync-server

Available Tools

Geocoding

geocode

Convert an address to coordinates.

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

reverse_geocode

Convert coordinates to an address.

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

batch_geocode

Geocode multiple addresses at once (max 10).

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.

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.

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.

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.

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.).

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

transform_crs

Transform coordinates between CRS.

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

Routing

route

Calculate route between two points.

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.

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).

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

write_file

Write features to geospatial files.

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:

{
  "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

# 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

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

locusync_server-1.2.0.tar.gz (51.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

locusync_server-1.2.0-py3-none-any.whl (43.4 kB view details)

Uploaded Python 3

File details

Details for the file locusync_server-1.2.0.tar.gz.

File metadata

  • Download URL: locusync_server-1.2.0.tar.gz
  • Upload date:
  • Size: 51.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for locusync_server-1.2.0.tar.gz
Algorithm Hash digest
SHA256 6c9bba7212df561ebc0b0d8811d31c4135009a2a1548f0252316d4ef7f9b298c
MD5 575a3d6187ff27ba56f32964aac05b97
BLAKE2b-256 87f7a4c4715af5dc86dfb8da2f0717218dad4b884f75db21362d259549a16376

See more details on using hashes here.

Provenance

The following attestation bundles were made for locusync_server-1.2.0.tar.gz:

Publisher: publish.yml on matbel91765/GIS-MCP-Server

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file locusync_server-1.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for locusync_server-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 eca6d757f8f4a4b9492761f3a03c01a35255432499e929131536962421205741
MD5 ecb6991026a442251e98ea0c7c157100
BLAKE2b-256 276debd5d03d7eb7f17a5fa7c39a65fb529c933ec4d2d82b6d522e671d58b4ec

See more details on using hashes here.

Provenance

The following attestation bundles were made for locusync_server-1.2.0-py3-none-any.whl:

Publisher: publish.yml on matbel91765/GIS-MCP-Server

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page