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271,170 tools. Last updated 2026-07-08 01:54

"Techniques and Tools for Data Analysis, Exploration, and Working with Parquet and CSV Files" matching MCP tools:

  • Execute SQL queries on CSV and Parquet data sources using DuckDB syntax to retrieve structured results for data analysis and visualization.
    MIT
  • Retrieve detailed sandbox behavioral analysis for a file hash to understand malware capabilities, including process activity, network connections, and MITRE ATT&CK techniques. Essential for threat detection and incident response.
    MIT
  • Execute SQL queries on local Parquet, CSV, or JSON files by treating them as tables, enabling instant data analysis without a separate database.
    Apache 2.0
  • Validate data files by parsing JSON, checking CSV shape, and verifying SQLite integrity. Use as a smoke check to detect corruption early.
    MIT

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Matching MCP Connectors

  • Rick and Morty MCP — wraps the Rick and Morty API (free, no auth)

  • Hosted MCP server for live sports data — scores, analytics, schedules, standings, multi-book odds, team form, head-to-head, model predictions, and pre-generated matchup analysis across 1,000+ leagues in 150+ countries. Free tier, no card.

  • 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 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
  • Saves Chronulus forecast data and explanations to CSV and TXT files for analysis and reference, with optional rescaling capabilities.
    Python
    MIT
  • Export a feature class or table to a CSV file, enabling attribute data to be used in data pipelines, reports, or non-GIS tools.
    Apache 2.0
  • Load and analyze local or remote data files (CSV, JSON, Excel, etc.) to obtain DataFrame information and metadata.
    Apache 2.0
  • Uploads failure data CSV to identify top failure modes, correlate with production lots, and provide actionable recommendations for quality improvement.
    Apache 2.0
  • Switch to a specified branch or restore working tree files. Requires branch name and working directory.
    MIT
  • Create an empty Iceberg table by inferring schema from parquet, CSV, or JSONL files in an S3 URI. Supports partitioning and optional replacement.
    MIT
  • Convert PDF and scanned documents to CSV files, preserving layout and table structure for data extraction.
    MIT
  • Convert DBN market data files to Parquet format for efficient storage and analysis. Specify input path, output path, and compression options.