io.github.ronitjadhav/geoservercloud-mcp
MCP server for managing GeoServer workspaces, datastores, layers, and styles
Open source Open in the app JSON README (API)
About
MCP server for managing GeoServer workspaces, datastores, layers, and styles
Details
- Kind
- MCP servers
- Topic
- No topic detected
- Publisher
- ronitjadhav
- Origin
- official
- Category
- ferramentas
- Transport
- local
- Version
- 1.0.0
- Open pull requests
- 2
- Last push
- 2026-07-22T03:14:52Z
- Repository state
- ativo
- Language
- Python
- License
- BSD-2-Clause
- Added
- 2026-08-29 04:01:19
- Updated
- 2026-08-29 04:01:19
- Origin id
io.github.ronitjadhav/geoservercloud-mcp
README
<!-- mcp-name: io.github.ronitjadhav/geoservercloud-mcp -->

An MCP server that wraps the [python-geoservercloud](https://github.com/camptocamp/python-geoservercloud) library, exposing 80+ GeoServer operations as natural-language tools for AI assistants like Claude, VS Code Copilot, and other MCP-compatible clients.
Once connected, you can just ask:
- _"List all workspaces in GeoServer"_
- _"Create a new workspace called `test_data`"_
- _"Publish the `roads` table from my PostGIS database"_
## Quick start (Claude Code)
One command — no manual install, `uvx` fetches and runs the server for you.
**Simplest — no credentials up front:**
```bash
claude mcp add geoserver -- uvx geoservercloud-mcp
```
The AI will ask you for the GeoServer URL, username, and password when it first
needs them. Great for trying it out or switching between servers.
**Or set the connection up front:**
```bash
claude mcp add geoserver \
--env GEOSERVER_URL=http://localhost:8080/geoserver \
--env GEOSERVER_USER=admin \
--env GEOSERVER_PASSWORD=geoserver \
-- uvx geoservercloud-mcp
```
That's it — start Claude Code and ask it to list your workspaces to confirm
it's connected.
Manage it later with `claude mcp list`, `claude mcp get geoserver`, or
`claude mcp remove geoserver`. Add `--scope user` to the add command to make it
available in every project instead of just this one.
---
## Other clients
<details>
<summary><b>Claude Desktop</b></summary>
Add this to your config file, then restart Claude Desktop:
- **macOS:** `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Linux:** `~/.config/Claude/claude_desktop_config.json`
```json
{
"mcpServers": {
"geoserver": {
"command": "uvx",
"args": ["geoservercloud-mcp"],
"env": {
"GEOSERVER_URL": "http://localhost:8080/geoserver",
"GEOSERVER_USER": "admin",
"GEOSERVER_PASSWORD": "geoserver"
}
}
}
}
```
</details>
<details>
<summary><b>VS Code / Cursor</b></summary>
Add this to `.vscode/mcp.json`:
```json
{
"servers": {
"geoserver": {
"command": "uvx",
"args": ["geoservercloud-mcp"],
"env": {
"GEOSERVER_URL": "http://localhost:8080/geoserver",
"GEOSERVER_USER": "admin",
"GEOSERVER_PASSWORD": "geoserver"
}
}
}
}
```
</details>
<details>
<summary><b>Install manually (pip / uvx)</b></summary>
```bash
# with pip
pip install geoservercloud-mcp
geoservercloud-mcp
# or run without installing (requires uv: https://docs.astral.sh/uv/)
uvx geoservercloud-mcp
```
Published to the [MCP Registry](https://registry.modelcontextprotocol.io) as
`io.github.ronitjadhav/geoservercloud-mcp`.
</details>
---
## Environment variables
| Variable | Default | Description |
| -------------------- | --------------------------------- | ------------------ |
| `GEOSERVER_URL` | `http://localhost:8080/geoserver` | GeoServer base URL |
| `GEOSERVER_USER` | `admin` | GeoServer username |
| `GEOSERVER_PASSWORD` | `geoserver` | GeoServer password |
All three are optional — if you skip them, you can configure the connection at
runtime by asking the AI.
---
## Development
Want to run it from source or contribute?
```bash
git clone https://github.com/ronitjadhav/geoservercloud-mcp.git
cd geoservercloud-mcp
poetry install # set up the environment
poetry run pytest # run the tests
poetry run geoservercloud-mcp # run the server (stdio)
```
Need a GeoServer to test against? `cd docker && docker compose up -d` spins up
GeoServer + PostGIS + the MCP server.
For the full workflow — adding new tools, linting, releasing, and how publishing
works — see the **[Developer Guide](docs/DEVELOPER.md)**.
---
## Python library
This server is built on the **python-geoservercloud** library. For programmatic
access without MCP:
```python
from geoservercloud import GeoServerCloud
geoserver = GeoServerCloud(
url="http://localhost:8080/geoserver",
user="admin",
password="geoserver",
)
geoserver.create_workspace("my_workspace")
```
Full library docs: <https://camptocamp.github.io/python-geoservercloud/>