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GeoServer MCP Server

by mahdin75
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GeoServer MCP Server

Version 0.5.0 (Beta) is under active development and will be released shortly. We are open to contributions and welcome developers to join us in building this project.

🎥 Demo

Related MCP server: MCP Google Map Server

📋 Table of Contents

🚀 Features

  • 🔍 Query and manipulate GeoServer workspaces, layers, and styles

  • 🗺️ Execute spatial queries on vector data

  • 🎨 Generate map visualizations

  • 🌐 Access OGC-compliant web services (WMS, WFS)

  • 🛠️ Easy integration with MCP-compatible clients

📋 Prerequisites

  • Python 3.10 or higher

  • Running GeoServer instance with REST API enabled

  • MCP-compatible client (like Claude Desktop or Cursor)

  • Internet connection for package installation

🛠️ Installation

Choose the installation method that best suits your needs:

Installing via Smithery

To install GeoServer MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @mahdin75/geoserver-mcp --client claude

🛠️ Installation (Docker)

The Docker installation is the quickest and most isolated way to run the GeoServer MCP server. It's ideal for:

  • Quick testing and evaluation

  • Production deployments

  • Environments where you want to avoid Python dependencies

  • Consistent deployment across different systems

  1. Run geoserver-mcp:

docker pull mahdin75/geoserver-mcp docker run -d mahdin75/geoserver-mcp

  1. Configure the clients:

If you are using Claude Desktop, edit claude_desktop_config.json If you are using Cursor, Create .cursor/mcp.json

{ "mcpServers": { "geoserver-mcp": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "GEOSERVER_URL=http://localhost:8080/geoserver", "-e", "GEOSERVER_USER=admin", "-e", "GEOSERVER_PASSWORD=geoserver", "-p", "8080:8080", "mahdin75/geoserver-mcp" ] } } }

🛠️ Installation (pip)

The pip installation is recommended for most users who want to run the server directly on their system. This method is best for:

  • Regular users who want to run the server locally

  • Systems where you have Python 3.10+ installed

  • Users who want to customize the server configuration

  • Development and testing purposes

  1. Install uv package manager.

pip install uv

  1. Create the Virtual Environment (Python 3.10+):

Linux/Mac:

uv venv --python=3.10

Windows PowerShell:

uv venv --python=3.10

  1. Install the package using pip:

uv pip install geoserver-mcp

  1. Configure GeoServer connection:

Linux/Mac:

export GEOSERVER_URL="http://localhost:8080/geoserver" export GEOSERVER_USER="admin" export GEOSERVER_PASSWORD="geoserver"

Windows PowerShell:

$env:GEOSERVER_URL="http://localhost:8080/geoserver" $env:GEOSERVER_USER="admin" $env:GEOSERVER_PASSWORD="geoserver"

  1. Start the server:

If you are going to use Claude desktop you don't need this step. For cursor or your own custom client you should run the following code.

Linux:

source .venv/bin/activate geoserver-mcp

or

source .venv/bin/activate geoserver-mcp --url http://localhost:8080/geoserver --user admin --password geoserver --debug

Windows PowerShell:

.\.venv\Scripts\activate geoserver-mcp

or

.\.venv\Scripts\activate geoserver-mcp --url http://localhost:8080/geoserver --user admin --password geoserver --debug

  1. Configure Clients:

If you are using Claude Desktop, edit claude_desktop_config.json If you are using Cursor, Create .cursor/mcp.json

Windows:

{ "mcpServers": { "geoserver-mcp": { "command": "C:\\path\\to\\geoserver-mcp\\.venv\\Scripts\\geoserver-mcp", "args": [ "--url", "http://localhost:8080/geoserver", "--user", "admin", "--password", "geoserver" ] } } }

Linux:

{ "mcpServers": { "geoserver-mcp": { "command": "/path/to/geoserver-mcp/.venv/bin/geoserver-mcp", "args": [ "--url", "http://localhost:8080/geoserver", "--user", "admin", "--password", "geoserver" ] } } }

🛠️ Development installation

The development installation is designed for contributors and developers who want to modify the codebase. This method is suitable for:

  • Developers contributing to the project

  • Users who need to modify the source code

  • Testing new features

  • Debugging and development purposes

  1. Install uv package manager.

pip install uv

  1. Create the Virtual Environment (Python 3.10+):

uv venv --python=3.10

  1. Install the package using pip:

uv pip install -e .

  1. Configure GeoServer connection:

Linux/Mac:

export GEOSERVER_URL="http://localhost:8080/geoserver" export GEOSERVER_USER="admin" export GEOSERVER_PASSWORD="geoserver"

Windows PowerShell:

$env:GEOSERVER_URL="http://localhost:8080/geoserver" $env:GEOSERVER_USER="admin" $env:GEOSERVER_PASSWORD="geoserver"

  1. Start the server:

If you are going to use Claude desktop you don't need this step. For cursor or your own custom client you should run the following code.

Linux:

source .venv/bin/activate geoserver-mcp

or

source .venv/bin/activate geoserver-mcp --url http://localhost:8080/geoserver --user admin --password geoserver --debug

Windows PowerShell:

.\.venv\Scripts\activate geoserver-mcp

or

.\.venv\Scripts\activate geoserver-mcp --url http://localhost:8080/geoserver --user admin --password geoserver --debug

  1. Configure Clients:

If you are using Claude Desktop, edit claude_desktop_config.json If you are using Cursor, Create .cursor/mcp.json

Windows:

{ "mcpServers": { "geoserver-mcp": { "command": "C:\\path\\to\\geoserver-mcp\\.venv\\Scripts\\geoserver-mcp", "args": [ "--url", "http://localhost:8080/geoserver", "--user", "admin", "--password", "geoserver" ] } } }

Linux:

{ "mcpServers": { "geoserver-mcp": { "command": "/path/to/geoserver-mcp/.venv/bin/geoserver-mcp", "args": [ "--url", "http://localhost:8080/geoserver", "--user", "admin", "--password", "geoserver" ] } } }

File Storage and --storage Usage

GeoServer MCP server supports an optional --storage flag to specify a base directory for all file read/write operations, such as uploading shapefiles, GeoTIFFs, or exporting results.

Overview

  • The --storage flag sets the root folder for file operations from all data-related tools.

  • You may supply relative paths (relative to storage root) or absolute paths (bypassing the storage root) as arguments to relevant tools.

  • If --storage is not set, paths are resolved as provided by the user (relative to working directory or absolute).

CLI Example

python -m geoserver_mcp.main --storage D:/my/data/dir

This sets D:/my/data/dir as the base path for all files.

Example tool call in Python:

# Will read from D:/my/data/dir/roads.zip if --storage is set to D:/my/data/dir create_shp_datastore('workspace', 'datastore_name', 'roads.zip')

Absolute paths (e.g. 'C:/input/other.shp') are always used as-is.

When Running in Docker

If using Docker, ensure the storage directory is mounted as a volume, e.g.:

docker run -v D:/my/data:/opt/data ...

Then launch the server with:

python -m geoserver_mcp.main --storage /opt/data

Best Practices

  • Use relative paths when interacting with the API/tools as it keeps your setup portable.

  • For remote or container deployment, always ensure your file data is accessible within the container (use Docker volumes if needed).

  • Check tool docstrings for which arguments use the storage system.

The --storage system streamlines file management for all users and makes deployment much more flexible!

🛠️ Available Tools

This section details all the available tools and resources exposed by the GeoServer MCP server. These tools allow LLMs to interact with GeoServer's REST API for comprehensive geospatial data management.

🌍 Resource Endpoints

Resource endpoints provide direct access to GeoServer resources via a URI pattern.

Resource URI

Description

geoserver://catalog/workspaces

List available workspaces

geoserver://catalog/layers/{workspace}/{layer}

Get information about a specific layer

geoserver://services/wms/{request}

Handle WMS resource requests

geoserver://services/wfs/{request}

Handle WFS resource requests

📦 Workspace Management

Tool

Description

list_workspaces

List available workspaces in GeoServer

create_workspace

Create a new workspace in GeoServer

📁 Datastore & Coveragestore Management

Tool

Description

create_datastore

Create a new datastore in the given workspace

create_featurestore

Create a new featurestore in the given workspace

create_gpkg_datastore

Create a GeoPackage (GPKG) datastore

create_shp_datastore

Create an ESRI Shapefile datastore

create_coveragestore

Create a new coveragestore in a workspace

delete_coveragestore

Delete a coveragestore from a workspace

get_coveragestore

Get details about a single coveragestore

get_coveragestores

Get all coveragestores for a workspace

get_datastore

Get a specific datastore by name

get_datastores

List all datastores in the given workspace

🗺️ Layer Management

Tool

Description

get_layer_info

Get detailed information about a layer

list_layers

List layers in GeoServer, optionally filtered by workspace

create_layer

Create a new layer in GeoServer

delete_resource

Delete a resource from GeoServer (generic)

🧩 Layer Group Management

Tool

Description

create_layergroup

Create a new layer group with specific layers and (optionally) styles

get_layergroup

Get a layer group from a workspace

get_layergroups

List all layer groups in a workspace

add_layer_to_layergroup

Add a specific layer to a layer group

remove_layer_from_layergroup

Remove a layer from a group

delete_layergroup

Delete a layer group from a workspace

update_layergroup

Update a layer group's details and configuration

👥 User & User Group Management

Tool

Description

create_user

Create a new user for GeoServer security

delete_user

Delete a user by name

get_all_users

List all users in the GeoServer instance

modify_user

Modify an existing user's properties

create_usergroup

Create a new user group

delete_usergroup

Delete a user group

get_all_usergroups

Return all user groups

📊 Feature Type & Attribute Management

Tool

Description

query_features

Query features from a vector layer using CQL filter

publish_featurestore

Publish an existing featurestore

publish_featurestore_sqlview

Publish a featurestore using a SQL view definition

edit_featuretype

Edit the settings of a feature type in a store

get_featuretypes

List all feature types in a given store

get_feature_attribute

Get feature attribute schema/details

🎨 Style Management

Tool

Description

create_style

Create a new SLD style in GeoServer

publish_style

Assign/publish a style to a layer

create_catagorized_featurestyle

Create a categorized style for features

create_classified_featurestyle

Create a classified style for features

create_coveragestyle

Create a raster coverage style

create_outline_featurestyle

Create a simple outline-only style for features

⚙️ System & Service Operations

Tool

Description

get_manifest

Get GeoServer manifest metadata/details

get_status

Obtain general server status

get_system_status

Get system status overview/info from GeoServer

get_version

Fetch GeoServer version string

reload_geoserver

Reload catalog and config from disk

reset_geoserver

Reset all GeoServer caches/connections

update_service

Update selected OGC service options

publish_time_dimension_to_coveragestore

Add or update a time dimension for a coverage store (for time series)

📝 Style XML Utilities

Tool

Description

style_catagorize_xml

Generate SLD for categorized vector style

style_classified_xml

Get SLD XML for classified vector style

style_coverage_style_colormapentry

Generate color map entries for raster SLD

style_coverage_style_xml

Generate XML for raster/coverage SLD

style_outline_only_xml

XML for outline-only style for a geometry

🛠️ Client Development

If you're planning to develop your own client to interact with the GeoServer MCP server, you can find inspiration in the example client implementation at examples/client.py. This example demonstrates:

  • How to establish a connection with the MCP server

  • How to send requests and handle responses

  • Basic error handling and connection management

  • Example usage of various tools and operations

The example client serves as a good starting point for understanding the protocol and implementing your own client applications.

Also, here is the example usgage:

List Workspaces

Tool: list_workspaces Parameters: {} Response: ["default", "demo", "topp", "tiger", "sf"]

Get Layer Information

Tool: get_layer_info Parameters: { "workspace": "topp", "layer": "states" }

Query Features

Tool: query_features Parameters: { "workspace": "topp", "layer": "states", "filter": "PERSONS > 10000000", "properties": ["STATE_NAME", "PERSONS"] }

Generate Map

Tool: generate_map Parameters: { "layers": ["topp:states"], "styles": ["population"], "bbox": [-124.73, 24.96, -66.97, 49.37], "width": 800, "height": 600, "format": "png" }

🔮 Planned Features

  • Coverage and raster data management

  • Security and access control

  • Advanced styling capabilities

  • WPS processing operations

  • GeoWebCache integration

🤝 Contributing

We welcome contributions! Here's how you can help:

  1. Fork the repository

  2. Create a feature branch (git checkout -b feature/AmazingFeature)

  3. Commit your changes (git commit -m 'Add some AmazingFeature')

  4. Push to the branch (git push origin feature/AmazingFeature)

  5. Open a Pull Request

Please ensure your PR description clearly describes the problem and solution. Include the relevant issue number if applicable.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Related Projects

🌐 See Also: GIS MCP

For broader geospatial data automation and even more GIS-related MCP features, see GIS MCP by mahdin75.

📞 Support

For support, please Open an issue

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