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260,121 tools. Last updated 2026-07-05 04:48

"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
  • Calculate synastry charts comparing two people's natal charts. Returns inter-aspects (planetary connections between two charts), composite points, and relationship indicators. Use for compatibility analysis, relationship timing, or partnership insights.
    MIT
  • Create interactive candlestick or OHLC financial charts from date, open, high, low, close data for stock, crypto, or forex analysis.
    Functional Source , Version 1.1, MIT Future

Matching MCP Servers

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    A Model Context Protocol server that generates lightweight ASCII charts directly in terminal environments, supporting line charts, bar charts, scatter plots, histograms, and sparklines without GUI dependencies.
    Last updated
    5
    13
    9
    MIT

Matching MCP Connectors

  • SEC filing intelligence for AI agents. Financials, screening, peer comparison for 5,000+ companies.

  • Energy-Charts (Fraunhofer ISE) MCP — European electricity generation, prices, and capacity.

  • 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 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
  • 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.
  • Detect deterministic Earthly Branch interactions for natal charts, synastry, annual triggers, or target-branch comparison, covering clashes, combinations, trines, directionals, punishments, destructions, and harms.
    MIT
  • Get a quick statistical snapshot of a table: row count, null rates, cardinality, numeric min/max/avg, and date ranges. Optionally drill into a specific column for deeper analysis.
    MIT