GeoServer
GeoServer MCP Server provides a bridge between AI assistants and GeoServer's REST API, enabling management of geospatial data and mapping services. Built with Python using the FastMCP framework, it exposes tools for workspace management, layer operations, feature querying, and map generation through WMS/WFS services. The server connects to any GeoServer instance via configurable credentials, supports both resource-based and tool-based interactions, and includes comprehensive error handling for robust operation. Particularly valuable for geospatial applications requiring AI assistance with data visualization, spatial analysis, or GIS administration tasks.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- maps-location
- Source
- PulseMCP
- Repository
- github.com/mahdin75/geoserver-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve GeoServer from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.