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Pankaj-Deswal

battery-analyzer-mcp

by Pankaj-Deswal
OverviewSchemaRelated ServersScoreDiscussions
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
BATTERY_ANALYZER_DATA_DIRNoOverride the data folder directory where input Excel files are placed and results are saved. Defaults to the 'data/' subdirectory within the server installation.

Capabilities

Features and capabilities supported by this server

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

Tools

Functions exposed to the LLM to take actions

NameDescription
list_battery_methodsA

List available battery analysis methods and their expected Excel input formats.

list_data_files_toolA

List .xlsx input files available in the MCP server data folder.

calculate_dunnA

Run the Dunn method on a cyclic voltammetry Excel file from the data folder.

Args: file_name: File name in the data folder (e.g. dunn_method_data.xlsx). .xlsx is added if omitted. max_plot_points: Maximum number of points per plot series (default 5000).

Returns: JSON with results_path, preview table, plots, and summary.

calculate_gittA

Run the GITT method on a titration Excel file from the data folder.

Args: file_name: File name in the data folder (e.g. GITT_67.xlsx). .xlsx is added if omitted. skip_rows: Number of metadata rows to skip at the top (default 6). L: Electrode thickness in cm (default 1e-4). threshold: Minimum dV to classify segment direction in V (default 1e-4). min_points: Minimum points per voltage segment (default 5). tau: Pulse duration in seconds (default 1800). max_plot_points: Maximum number of points per plot series (default 5000).

Returns: JSON with results_path, preview table, plots, and summary.

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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