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dogukanteber

netcdf-mcp

by dogukanteber

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_file_structureA

Get the complete structure of a NetCDF file.

Returns dimensions, coordinates, data variables, and global attributes.

Args: file_path: Path to the NetCDF file.

Returns: JSON string containing the file structure.

list_variablesA

List all data variables in a NetCDF file with their shapes, dtypes, and units.

Args: file_path: Path to the NetCDF file.

Returns: JSON string with variable names, shapes, dtypes, and units.

get_global_attributesA

Get all global attributes (metadata) from a NetCDF file.

Returns title, institution, history, conventions, and other file-level metadata.

Args: file_path: Path to the NetCDF file.

Returns: JSON string with all global attributes.

get_variable_infoA

Get detailed information about a specific variable in a NetCDF file.

Returns dtype, shape, dimensions, all attributes, and fill value.

Args: file_path: Path to the NetCDF file. variable_name: Name of the variable to inspect.

Returns: JSON string with detailed variable information.

get_variable_statsA

Get statistical summary of a variable: min, max, mean, std, NaN count, percentiles.

Args: file_path: Path to the NetCDF file. variable_name: Name of the variable to analyze.

Returns: JSON string with statistical summary.

get_variable_sampleA

Extract a sample of actual data values from a variable for inspection.

Args: file_path: Path to the NetCDF file. variable_name: Name of the variable to sample. max_samples: Maximum number of samples to return (default: 100).

Returns: JSON string with sample values and their indices.

get_dimension_valuesA

Get values along a dimension (e.g., time steps, lat/lon coordinates).

Args: file_path: Path to the NetCDF file. dimension_name: Name of the dimension/coordinate to get values for. max_values: Maximum number of values to return (default: 100).

Returns: JSON string with dimension values.

check_data_qualityB

Check a variable for data quality issues: NaN/missing values, outliers, suspicious patterns.

Args: file_path: Path to the NetCDF file. variable_name: Name of the variable to check.

Returns: JSON string with data quality report.

compare_variablesB

Compare two variables for shape compatibility, range differences, and correlation.

Args: file_path: Path to the NetCDF file. variable1: Name of the first variable. variable2: Name of the second variable.

Returns: JSON string with comparison results.

get_time_rangeA

Get the time range of a NetCDF file in human-readable format.

Handles CF-compliant time coordinates with various calendars.

Args: file_path: Path to the NetCDF file.

Returns: JSON string with time range information.

get_spatial_boundsA

Get the geographic extent (lat/lon bounds) of a NetCDF file.

Args: file_path: Path to the NetCDF file.

Returns: JSON string with spatial bounds.

check_cf_complianceB

Check if a NetCDF file follows CF (Climate and Forecast) conventions.

Performs basic checks for common CF requirements.

Args: file_path: Path to the NetCDF file.

Returns: JSON string with compliance report.

explain_variableA

Generate a human-readable explanation of what a variable represents.

Uses standard_name, long_name, units, and other attributes.

Args: file_path: Path to the NetCDF file. variable_name: Name of the variable to explain.

Returns: JSON string with human-readable explanation.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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