List all files and directories in a specified path, with [FILE] and [DIR] prefixes to distinguish items, enabling quick understanding of directory structure.
Retrieve a consolidated sandbox behavior summary for a file by hash, merging processes, files, registry, network, MITRE ATT&CK techniques, IDS alerts, and signatures across all sandbox analyses.
Enables validating CSV structure, checking simple schemas, converting between CSV and JSON, sampling rows, and finding duplicate keys on local files. All processing stays local, so no user data is ever uploaded.
Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.
List CSV lookup files in Splunk to reveal metadata like name, owner, app, permissions, and last updated time, helping you locate relevant lookup tables for further analysis.
Execute SQL queries and export results directly to CSV files for data analysis or reporting. This tool runs queries using Hive, SparkSQL, or Impala and saves the output as CSV.
Read data files (.mat, .csv, .json, .txt, .xlsx) from the session temp directory. Supports summary and raw modes for .mat files and inline content for others.
Aggregate ranked code retrieval, structure-backed related files, subsystem summaries, and relevant hubs into a bounded report for broad subsystem understanding when exact lookup is insufficient.