What routing engine is used?

Routing is performed via the OSRM API with configurable profiles like driving.

Can it handle batch geocoding requests?

Yes, it supports batch geocoding of up to 10 addresses in a single request.

What geospatial file formats are supported for import/export?

It supports reading and writing Shapefile, GeoJSON, and GeoPackage files.

Are there any rate limits to be aware of?

Nominatim enforces a 1 request per second limit automatically; OSRM demo usage is best effort.

Gis MCP Server

geospatialgeocodingroutingspatial-analysisfile-io

MCP server offering geospatial tools including geocoding, routing, elevation, spatial analysis, and geospatial file I/O.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "matbel91765-gis-mcp-server": {
      "command": "uvx",
      "args": [
        "locusync-server"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

This MCP server provides AI agents with geospatial capabilities such as address-to-coordinate conversion, routing calculations, elevation data retrieval, and spatial geometry operations. It supports batch geocoding and works with multiple geospatial file formats like Shapefile, GeoJSON, and GeoPackage. Use it when your AI agent requires location-based data processing, spatial analysis, or geospatial file handling.

Use cases

Convert addresses to geographic coordinates and vice versa

Calculate routes and isochrones between geographic points

Perform spatial operations like buffering, intersection, and distance calculation

Retrieve elevation data for points and paths

Read and write geospatial files in common formats

Key features

Geocoding and reverse geocoding via Nominatim/OSM or Pelias

Batch geocoding up to 10 addresses per request

Elevation data and elevation profiles along paths

Routing with distance, duration, geometry, and steps via OSRM

Spatial analysis including buffer, intersection, union, and CRS transformation

File I/O for Shapefile, GeoJSON, and GeoPackage formats

Capabilities & Tool Schemas (13)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Gis MCP Server.

geocode

Convert an address to coordinates.

reverse_geocode

Convert coordinates to an address.

batch_geocode

Geocode multiple addresses at once (max 10).

get_elevation

Get altitude for a point.

get_elevation_profile

Get elevations along a path.

distance

Calculate distance between two points.

Documentation Overview

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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Location Services View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

2mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

2 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Gis MCP Server

It supports Nominatim/OpenStreetMap and Pelias for geocoding and reverse geocoding.

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Technical Specs & Signals

CategoryLocation Services

PricingFree

10/10 checks healthy over the last 31d

55Quality signal: Good · 55/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools27/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 23d ago via OSV.dev · locusync-server (PyPI)

★ Featured

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More in 🗺️ Location Services →Best MCP servers for Maps & Location →Alternatives to Gis MCP Server →Install in Claude Desktop Install in Cursor Install in VS Code

Gis MCP Server

geospatialgeocodingroutingspatial-analysisfile-io

MCP server offering geospatial tools including geocoding, routing, elevation, spatial analysis, and geospatial file I/O.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "matbel91765-gis-mcp-server": {
      "command": "uvx",
      "args": [
        "locusync-server"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

Use cases

Convert addresses to geographic coordinates and vice versa

Calculate routes and isochrones between geographic points

Perform spatial operations like buffering, intersection, and distance calculation

Retrieve elevation data for points and paths

Read and write geospatial files in common formats

Key features

Geocoding and reverse geocoding via Nominatim/OSM or Pelias

Batch geocoding up to 10 addresses per request

Elevation data and elevation profiles along paths

Routing with distance, duration, geometry, and steps via OSRM

Spatial analysis including buffer, intersection, union, and CRS transformation

File I/O for Shapefile, GeoJSON, and GeoPackage formats

Capabilities & Tool Schemas (13)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Gis MCP Server.

geocode

Convert an address to coordinates.

reverse_geocode

Convert coordinates to an address.

batch_geocode

Geocode multiple addresses at once (max 10).

get_elevation

Get altitude for a point.

get_elevation_profile

Get elevations along a path.

distance

Calculate distance between two points.

Documentation Overview

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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Location Services View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

2mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

2 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Gis MCP Server

It supports Nominatim/OpenStreetMap and Pelias for geocoding and reverse geocoding.

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

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Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/matbel91765-gis-mcp-server?style=directory)](https://allmcps.com/mcp/matbel91765-gis-mcp-server)

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Technical Specs & Signals

CategoryLocation Services

PricingFree

10/10 checks healthy over the last 31d

55Quality signal: Good · 55/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools27/30

Adoption & activity4/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 23d ago via OSV.dev · locusync-server (PyPI)

★ Featured

AllMCPs Server

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More in 🗺️ Location Services →Best MCP servers for Maps & Location →Alternatives to Gis MCP Server →Install in Claude Desktop Install in Cursor Install in VS Code