Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
MCP server for managing GeoServer workspaces, datastores, layers, and styles
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
GEOSERVER_URL, GEOSERVER_USER, GEOSERVER_PASSWORDValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"geoservercloud": {
"command": "uvx",
"args": [
"geoservercloud-mcp"
],
"env": {
"GEOSERVER_URL": "your-value",
"GEOSERVER_USER": "your-value",
"GEOSERVER_PASSWORD": "your-value"
}
}
}
}Run this in your terminal
claude mcp add geoservercloud --env GEOSERVER_URL=your-value --env GEOSERVER_USER=your-value --env GEOSERVER_PASSWORD=your-value -- uvx geoservercloud-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"geoservercloud": {
"command": "uvx",
"args": [
"geoservercloud-mcp"
],
"env": {
"GEOSERVER_URL": "your-value",
"GEOSERVER_USER": "your-value",
"GEOSERVER_PASSWORD": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"geoservercloud": {
"type": "stdio",
"command": "uvx",
"args": [
"geoservercloud-mcp"
],
"env": {
"GEOSERVER_URL": "your-value",
"GEOSERVER_USER": "your-value",
"GEOSERVER_PASSWORD": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
GEOSERVER_URL envGEOSERVER_USER envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account ronitjadhav, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: GEOSERVER_PASSWORD
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Hunter Killer
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
An MCP server that wraps the 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:
test_data"_roads table from my PostGIS database"_One command — no manual install, uvx fetches and runs the server for you.
Simplest — no credentials up front:
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:
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.
Claude Desktop
Add this to your config file, then restart Claude Desktop:
~/Library/Application Support/Claude/claude_desktop_config.json~/.config/Claude/claude_desktop_config.json{
"mcpServers": { "geoserver": { "command": "uvx", "args": ["geoservercloud-mcp"], "env": { "GEOSERVER_URL": "http://localhost:8080/geoserver", "GEOSERVER_USER": "admin", "GEOSERVER_PASSWORD": "geoserver" } } } }
VS Code / Cursor
Add this to .vscode/mcp.json:
{
"servers": { "geoserver": { "command": "uvx", "args": ["geoservercloud-mcp"], "env": { "GEOSERVER_URL": "http://localhost:8080/geoserver", "GEOSERVER_USER": "admin", "GEOSERVER_PASSWORD": "geoserver" } } } }
Install manually (pip / uvx)
# with pip
pip install geoservercloud-mcp geoservercloud-mcp
uvx geoservercloud-mcp
Published to the MCP Registry as io.github.ronitjadhav/geoservercloud-mcp.
| 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.
Want to run it from source or contribute?
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).
This server is built on the python-geoservercloud library. For programmatic access without MCP:
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/