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538,228 tools. Updated 2026-09-09 03:56

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

  • Load and analyze data files from absolute local paths or URLs. Supports CSV, JSON, HTML, Excel, ODS, and Parquet formats.
    Apache 2.0
  • 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
  • Export collected OT data from local SQLite storage to CSV, SQLite, or Parquet files for analysis in Excel, SQL tools, or pandas/Spark.
    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

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    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.
    AGPL 3.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
    1
    GPL 3.0

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
  • Export a dataset (target series and exogenous features) from a data handle to a local file in CSV, Parquet, or JSON format.
    BSD 3-Clause
  • Saves Chronulus forecast data and explanations to CSV and TXT files for analysis and reference, with optional rescaling capabilities.
    Python
    MIT
  • Upload files into Velixar memory with full source provenance. Supported formats include PDF, Markdown, text, CSV, JSON, DOCX, and code files.
    MIT
  • Uploads failure data CSV to identify top failure modes, correlate with production lots, and provide actionable recommendations for quality improvement.
    Apache 2.0
  • Create an empty Iceberg table by inferring schema from parquet, CSV, or JSONL files in an S3 URI. Supports partitioning and optional replacement.
    MIT
  • Export collected battery cell data frames to CSV, Parquet, or JSON files for storage, sharing, and further analysis.
    MIT
  • Export historical on-chain derivatives data (trades, fills, orderbooks, etc.) as CSV or Parquet by event type and optional market filter.
    MIT
  • Normalize raw VCF files into reusable, quality-filtered genotype Parquet for efficient polygenic risk score analysis. Apply optional filters (depth, quality, FILTER) and reuse cached output across multiple scoring runs.
    MIT
  • Inspect or query remote tabular files (Parquet/CSV/TSV) without downloading. Use schema, preview, head, SQL, or profile operations.
    MIT