a year ago
research-and-dataA Model Context Protocol (MCP) server implementation that connects LLMs to the GeoServer REST API
Overview
What is GeoServer MCP Server?
GeoServer MCP Server is a Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to the GeoServer REST API, enabling AI assistants to interact with geospatial data and services.
How to use GeoServer MCP Server?
To use the GeoServer MCP Server, clone the repository, install the package, configure the GeoServer connection, and start the server. You can then use various tools to query and manipulate geospatial data.
Key features of GeoServer MCP Server?
- Query and manipulate GeoServer workspaces, layers, and styles
- Execute spatial queries on vector data
- Generate map visualizations
- Access OGC-compliant web services (WMS, WFS)
- Real-time interaction with GeoServer REST API
- Support for complex spatial operations
- Easy integration with MCP-compatible clients
Use cases of GeoServer MCP Server?
- Querying geospatial data for analysis
- Generating visualizations for geographic information
- Integrating AI assistants with geospatial services
FAQ from GeoServer MCP Server?
- What are the prerequisites for using GeoServer MCP Server?
You need Python 3.10 or higher, a running GeoServer instance with REST API enabled, and an MCP-compatible client.
- How do I install GeoServer MCP Server?
Clone the repository and run
pip install -e .to install the package.
- Can I contribute to GeoServer MCP Server?
Yes! Contributions are welcome. Please fork the repository and submit a pull request.