🌍 Jupyter Earth MCP Server is a [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server implementation that provides a set of tools
Jupyter earth mcp server lets Claude, Cursor and other MCP clients work with Jupyter Earth directly. 🌍 Jupyter Earth MCP Server is a Model Context Protocol (MCP) server implementation that provides a set of tools for 🗺️ Geospatial analysis in 📓 Jupyter notebooks.
🌍 Jupyter Earth MCP Server is a Model Context Protocol (MCP) server implementation that provides a set of tools for 🗺️ Geospatial analysis in 📓 Jupyter notebooks.
Once connected, the assistant can call these 4 tools directly:
Input — - folder_name(string): Local folder name to save the dataReturns — Cell outputTools — The Tools tool exposed by this serverPrompts — 1. download_analyze_global_sea_level - To ask for downloading and analyzing global sea level data in Jupyter. - Returns: Prompt correctly formattedThe server is distributed via PyPI as jupyterlab, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply 3 environment variables: SERVER_URL, TOKEN, NOTEBOOK_PATH. Keep credentials in your client's env block or a secrets manager rather than committing them.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Jupyter Earth sits in that group, and the shape of its toolset — Input, Returns, Tools among others — tells you what it is really for. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Input | - folder_name(string): Local folder name to save the data. |
| Returns | Cell output. |
| Tools | The Tools tool exposed by this server. |
| Prompts | 1. download_analyze_global_sea_level - To ask for downloading and analyzing global sea level data in Jupyter. - Returns: Prompt correctly formatted. |
### Claude Configuration on Linux
```bash
CLAUDE_CONFIG=${HOME}/.config/Claude/claude_desktop_config.json
cat <<EOF > $CLAUDE_CONFIG
{
"mcpServers": {
"jupyter-earth": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"SERVER_URL",
"-e",
"TOKEN",
"-e",
"NOTEBOOK_PATH",
"--network=host",
"datalayer/jupyter-earth-mcp-server:latest"
],
"env": {
"SERVER_URL": "http://localhost:8888",
"TOKEN": "MY_TOKEN",
"NOTEBOOK_PATH": "notebook.ipynb"
}
}
}
}
EOF
cat $CLAUDE_CONFIGConfiguration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| SERVER_URL | Endpoint or connection string the server talks to. | Yes |
| TOKEN | Credential the server authenticates with. | Yes |
| NOTEBOOK_PATH | Filesystem location the server is allowed to use. | Optional |
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