# GeoServer MCP Server

> Use this tool when you need to interact with geospatial data using natural language commands, enabling AI assistants to access and manipulate geographic information through the GeoServer REST API. It solves problems related to spatial data analysis, mapping, and visualization by providing a conversational interface for MCP-compatible clients. The GeoServer MCP Server takes natural language inputs and returns geospatial data outputs, making it ideal for use cases that require intuitive and voice-controlled interaction with geographic data.

Canonical page: https://skillsregistry.net/skills/ronitjadhav-geoservercloud-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ronitjadhav-geoservercloud-mcp

## Description

A Model Context Protocol (MCP) server that exposes GeoServer REST API functionality for natural language interaction through AI assistants like Claude, VS Code Copilot, and other MCP-compatible clients.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fipfqrxor9)
- **Repository:** <https://github.com/ronitjadhav/geoservercloud-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ronitjadhav-geoservercloud-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ronitjadhav-geoservercloud-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ronitjadhav-geoservercloud-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
