Features

• csv_describe - Load a CSV and get schema, row count, column types, and statistics
• csv_filter - Filter rows by column conditions (eq, gt, lt, contains, etc.)
• csv_aggregate - Compute sum, avg, min, max, count, median on numeric columns
• csv_group_by - Group by a column and aggregate another
• csv_sample - Get sample rows with offset/limit
• csv_unique - Get unique values and their counts for any column

Quick Start

With Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "csv-analyst": {
      "command": "npx",
      "args": ["-y", "mcp-csv-analyst"]
    }
  }
}

With Claude Code

claude mcp add csv-analyst npx mcp-csv-analyst

Manual Install

npm install -g mcp-csv-analyst

Tools

csv_describe

Load a CSV file and get an overview of its structure.

Parameters:

• file_path (string) - Absolute path to CSV file

csv_filter

Filter rows by a column condition.

Parameters:

• file_path (string) - Path to CSV
• column (string) - Column to filter on
• operator (enum) - eq, neq, gt, gte, lt, lte, contains, starts_with
• value (string) - Value to compare
• limit (number, optional) - Max rows to return (default 50)
• sort_by (string, optional) - Column to sort by
• sort_dir (enum, optional) - asc or desc

csv_aggregate

Compute an aggregate on a numeric column.

Parameters:

• file_path (string) - Path to CSV
• column (string) - Numeric column
• operation (enum) - sum, avg, min, max, count, median

csv_group_by

Group rows and compute an aggregate.

Parameters:

• file_path (string) - Path to CSV
• group_column (string) - Column to group by
• agg_column (string) - Column to aggregate
• operation (enum) - sum, avg, count, min, max

csv_sample

Get sample rows from a CSV.

Parameters:

• file_path (string) - Path to CSV
• count (number, optional) - Number of rows (default 10)
• offset (number, optional) - Starting row offset

csv_unique

Get unique values with counts.

Parameters:

• file_path (string) - Path to CSV
• column (string) - Column name
• limit (number, optional) - Max values (default 50)

Example Conversation

You: Analyze the sales data in /data/sales.csv

Claude: Let me look at the structure of your CSV first... Uses csv_describe to examine the file

The file has 10,000 rows with columns: date, product, region, quantity, price, total. Let me compute some key metrics... Uses csv_group_by to sum total by region Uses csv_aggregate to get the overall average price

License

MIT