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"Tools and Techniques for Manipulating and Understanding CSV Files" matching MCP tools:

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  • Token-efficient search for coding agents over public and private documentation.

  • Web scraping, code review, content gen, sentiment. Zero Core Tools.

  • Identify and handle duplicate rows in Excel/CSV files using configurable strategies including highlighting, removal, or exporting duplicates.
    MIT
  • List files and directories in a specified path, identifying each as [FILE] or [DIR]. Use this to understand directory structure and locate files within allowed directories.
    MIT
  • Retrieve detailed intelligence about specific threat actors or APT groups to understand their tactics, techniques, procedures, target sectors, and tools used for security research and incident analysis.
    Apache 2.0
  • Validate data files by parsing JSON, checking CSV shape, and verifying SQLite integrity to catch corruption before use.
    MIT
  • Analyze suspicious files for malware using REMnux tools. Detects file type automatically and runs appropriate analysis tools with configurable depth levels for triage or comprehensive investigation.
    GPL 3.0
  • Upload files from your host system to the REMnux malware analysis environment for examination. Transfer files up to 200MB to the samples directory for use with analysis tools.
    GPL 3.0
  • Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.
    MIT
  • Saves Chronulus forecast data and explanations to CSV and TXT files for analysis and reference, with optional rescaling capabilities.
    Python
    MIT
  • List all files and directories in a path with their sizes, using [FILE] and [DIR] prefixes for clear distinction. Useful for exploring directory structure and locating specific files.
    Apache 2.0