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195,990 tools. Last updated 2026-06-12 09:23

"Exploring and Analyzing CSV Data with Statistics, Filters, and Aggregation" matching MCP tools:

  • Create an interactive HTML dashboard from CSV or Excel files. Analyzes data to produce charts, statistics, correlations, insights, and a sortable table for easy data exploration.
    MIT
  • Retrieve biological data from Biomart by specifying attributes and filters, returning results in CSV format. Use this tool to query datasets efficiently and apply custom filters for targeted data extraction.
    MIT
  • Retrieve authorization transaction data with amounts, counts, user/card details, and merchant info. Supports detail, day, week, or month aggregation. Apply filters and sorting; results limited to 10,000 records per query.
    MIT
  • Export XBRL facts as a CSV file for spreadsheet analysis. Customize columns and filters to extract specific financial data.
    Apache 2.0
  • Transform data between JSON, YAML, CSV, markdown, and code formats using field mapping, filtering, sorting, aggregation, and Jinja2 templates for custom output formatting.
    MIT
  • Get descriptive statistics and a data preview for dta, csv, or xlsx files. Understand dataset structure, variable details, and view head rows based on requested variables.
    AGPL 3.0

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  • Open a draw.io editor with a diagram generated from CSV data, using draw.io's CSV import format to create org charts, flowcharts, and other diagrams from tabular data.
    AGPL 3.0
  • Analyze column statistics, data distributions, and sample records by profiling a table. Obtain cardinality, null counts, and top value frequencies.
    MIT
  • Analyze CSV file structure by extracting schema, row count, and column statistics to understand data composition and prepare for further processing.
  • Run aggregation queries on Elasticsearch indices to compute statistics, counts, and groupings. Optionally filter documents before aggregating.
    Apache 2.0
  • Parse CSV data from string content into a DataBeak session for analysis and transformation. Configure delimiter and header detection to prepare data for processing.
  • Group and aggregate CSV data by specified columns using functions like sum, mean, count, min, max, or std to analyze and summarize datasets.
  • Load CSV data from a URL into a DataBeak session for analysis. Downloads, parses with security validation, and returns a session ID with data preview.