Skip to main content
Glama
750,148 tools. Updated 2026-11-06 08:10

"An analysis of financial or statistical charts" matching MCP tools:

  • Visualize cumulative effects of sequential positive or negative values to show how initial values change through intermediate steps to final results, useful for financial analysis and budget tracking.
    TypeScript
    MIT
  • Create boxplot charts to visualize statistical data distributions across categories. Compare medians, quartiles, and outliers for data analysis and insights.
    TypeScript
    MIT
  • Create violin charts to visualize and compare statistical data distributions across categories, enabling analysis of variations and patterns.
    TypeScript
    MIT
  • Compute statistical measures of decoded MP3 frame sizes to detect steganographic manipulation through entropy, variance, and anomaly analysis.
    MIT

Matching MCP Servers

Matching MCP Connectors

  • Find BPS infographics with statistical data visualizations. Filter by domain, keyword, and page to locate specific statistical charts.
    MIT
  • List BPS publications containing in-depth analysis and statistical reports. Filter by year, month, domain, or keyword to narrow results.
    MIT
  • Analyze a single column's statistical properties including data type, null values, and numerical summary for data quality assessment and feature understanding.
    Apache 2.0
  • Execute Python code for financial analysis, quantitative backtesting, or generating charts. Runs in a sandboxed environment with pandas, numpy, and matplotlib support.
    MIT
  • Run DSR, walk-forward, regime, and CPCV statistical tests on a CSV trade log or daily returns to detect overfitting and check out-of-sample consistency.
    MIT
  • Retrieve statistical classification for Czech companies from RES: size (SME/large), institutional sector, CZ-NACE code, financial office, and NUTS region for B2B segmentation and reporting.
    MIT
  • Turn numeric series into lightweight, dependency-free SVG sparkline charts for clear financial reporting and agent-readable output.
    MIT
  • Execute SQL queries on Alibaba Cloud SLS logs to perform analysis, aggregation, and statistical calculations for monitoring and troubleshooting purposes.
    MIT
  • Generate a waterfall chart to show how sequential positive or negative values change an initial amount into a final total, useful for budget tracking and profit-and-loss analysis.
    MIT
  • Creates an audio-free copy of a local video and sends it to a configured provider to answer visual-only research questions about actions, interfaces, code, charts, labels, or subtitles.
    MIT
  • Find analysis tools for your data or question. Uses semantic search across statistical and ML tools to match your dataset and query.
    MIT
  • Convert column types to int, float, str, category, datetime, or bool to fix incorrect types like numeric values stored as strings. Apply before statistical analysis or encoding.
    MIT
  • Lists every statistical test the G*Power engine implements, including effect-size metric, one- or two-group design, and supported analysis types.
    MIT