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510,000 tools. Updated 2026-09-03 14:58

"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
  • 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
  • Run statistical validation on a trading strategy using DSR, walk-forward, regime analysis, and CPCV to detect overfitting and assess performance across market conditions.
    MIT

Matching MCP Servers

Matching MCP Connectors

  • 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
  • Execute SQL queries on Alibaba Cloud SLS logs to perform analysis, aggregation, and statistical calculations for monitoring and troubleshooting purposes.
    MIT
  • Find analysis tools for your data or question. Uses semantic search across statistical and ML tools to match your dataset and query.
    MIT
  • Compute statistical measures of decoded MP3 frame sizes to detect steganographic manipulation through entropy, variance, and anomaly analysis.
    MIT
  • Perform Monte Carlo analysis on circuits by randomly varying component values within specified tolerances to obtain statistical results for AC, transient, or DC analysis.
    GPL 3.0
  • Perform quick statistical analysis on database tables to get row counts, column distributions, and top values for data exploration.
    MIT
  • Perform statistical analysis on Excel data to calculate descriptive statistics, identify trends, and extract insights from numeric columns in spreadsheet files.
    MIT
  • Perform comprehensive statistical analysis on datasets, including descriptive statistics, hypothesis testing, and distribution fitting.
    MIT
  • Generate statistical analysis of CAN bus traffic, including frequency, timing, load, errors, or summary. Optionally filter by CAN ID and time interval.
    MIT
  • Run statistical analysis on a dataset to uncover patterns and insights. Provide a dataset ID to receive summary statistics and distributions.
    MIT
  • Execute Python code for financial analysis, quantitative backtesting, or generating charts. Runs in a sandboxed environment with pandas, numpy, and matplotlib support.