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by mahdin75 • Geospatial & Location
An MCP server that connects LLM-based agents to a GeoServer REST API to query, manage, and visualize geospatial data.
Query and filter vector features from GeoServer workspaces and layers using CQL/WFS requests.
Generate styled map images (WMS) and create or apply SLD styles to layers for visualization.
Programmatically create, list, and delete workspaces, layers, and other GeoServer resources via the REST API.
This project implements a Model Context Protocol (MCP) server that allows AI agents to interact with GeoServer via its REST API. It exposes tools for workspace and layer management, spatial queries (WFS/CQL), style creation/application, and generating map images (WMS). The server supports Docker and pip installation and is intended for integration with MCP-compatible clients like Claude Desktop and Cursor. It is an open-source, community implementation for enabling geospatial workflows driven by LLMs.
List available workspaces in GeoServer.
Create a new workspace in GeoServer. Args: workspace: Name of the workspace to create Returns: Dict with status and result information
Get detailed information about a layer. Args: workspace: The workspace containing the layer layer: The name of the layer Returns: Dict with layer metadata
List layers in GeoServer, optionally filtered by workspace. Args: workspace: Optional workspace to filter layers Returns: List of layer information dictionaries
Create a new layer in GeoServer. Args: workspace: The workspace for the new layer layer: The name of the layer to create data_store: The data store to use source: The source data (file, table name, etc.) Returns: Dict with status and layer information
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