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"Python Code for Data Analysis" matching MCP servers:

  • A
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    A Model Context Protocol server for deep codebase understanding of Python projects, focusing on data analysis and scientific computing. It provides architectural analysis, pattern detection, dependency mapping, test coverage analysis, and AI-optimized context generation.
    1
    MIT
  • A
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    C
    maintenance
    An MCP server for securely executing Python code, supporting STDIO, Streamable HTTP, and SSE transports, with easy deployment on Heroku.
    8
    Creative Commons Zero v1.0 Universal
  • A
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    maintenance
    Enables data analysis and visualization operations such as loading CSV/Excel/JSON files, computing summary statistics, generating charts, and exploring datasets via SSE/HTTP.
    MIT
  • A
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    Provides comprehensive code analysis through three MCP servers: static analysis for code quality and security, dependency analysis for package management and vulnerabilities, and complexity analysis for maintainability assessment across multiple programming languages.
    1
    MIT
  • A
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    maintenance
    An MCP server that provides six code review tools for use with Claude Code or any MCP client. Each tool reads a file from disk, pairs its contents with a structured review prompt, and returns the bundle for the LLM to evaluate.
    MIT
  • A
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    quality
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    maintenance
    Enables execution of Python code in a safe environment, including running scripts, installing packages, and retrieving variable values. Supports file operations and package management through pip.
    8
    Apache 2.0
  • F
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    maintenance
    A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.
  • F
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    quality
    C
    maintenance
    Provides comprehensive statistical analysis tools for industrial data including time series analysis, correlation calculations, stationarity tests, outlier detection, causal analysis, and forecasting capabilities. Enables data quality assessment and statistical modeling through a FastAPI-based MCP architecture.
    7
  • F
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    quality
    D
    maintenance
    An MCP server for data analysis and visualization supporting CSV and Excel files. It enables users to generate statistical summaries and create multi-dimensional charts like heatmaps and bar plots through natural language.
  • F
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    quality
    C
    maintenance
    An MCP server that answers natural-language questions over CSV, Excel, and SQL data by providing deterministic tools for loading, profiling, querying, cleaning, statistical analysis, visualization, and reporting. It enables LLMs to plan and interpret while all computation is done exactly through MCP tools.
  • F
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    quality
    C
    maintenance
    Provides MCP-compatible tools for data analysis, including file reading, Python/SQL execution, and hypothesis testing. Enables autonomous data analysis agents to interact with a sandboxed environment.
  • A
    license
    A
    quality
    B
    maintenance
    A code-mode MCP server for the Unraid 7.2+ GraphQL API that exposes search and execute tools, allowing LLM agents to introspect and call any GraphQL field via sandboxed JavaScript.
    2
    1
    MIT