How do I use netcdf-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@netcdf-mcp What variables are in my NetCDF file?" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

netcdf-mcp

by dogukanteber

Overview Schema Related Servers Score Discussions

Python

Local

NetCDF MCP Server

An MCP server that reads and understands NetCDF files, designed to give coding agents context about scientific data files.

Installation

uv pip install -e .

Related MCP server: STDF MCP Server

Usage

With Cursor/Claude

Add to your MCP configuration file (~/.cursor/mcp.json):

{
  "mcpServers": {
    "netcdf-mcp": {
      "command": "/path/to/uv",
      "args": ["run", "--directory", "/path/to/netcdf-mcp", "netcdf-mcp"]
    }
  }
}

Replace /path/to/uv with your uv binary location (e.g., /opt/homebrew/bin/uv) and /path/to/netcdf-mcp with where you cloned this repository.

Standalone

netcdf-mcp

Tools

Tool	Description
`get_file_structure`	Get dimensions, coordinates, variables, and attributes
`list_variables`	List all data variables with shapes and units
`get_global_attributes`	Get file-level metadata
`get_variable_info`	Detailed info about a specific variable
`get_variable_stats`	Statistical summary (min, max, mean, percentiles)
`get_variable_sample`	Extract sample values for inspection
`get_dimension_values`	Get coordinate values (time, lat, lon)
`check_data_quality`	Check for NaN, outliers, and suspicious patterns
`compare_variables`	Compare two variables for compatibility and correlation
`get_time_range`	Get temporal extent in human-readable format
`get_spatial_bounds`	Get geographic extent (lat/lon bounds)
`check_cf_compliance`	Verify CF conventions compliance
`explain_variable`	Human-readable explanation of a variable

This server cannot be installed

license - not found

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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