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"Python Code for Data Analysis" matching MCP servers:

  • Data Analysis MCP Server

    boyzhang666
    F
    license
    Not graded
    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

  • MCP Tabular Data Analysis

    K02D
    F
    license
    A
    quality
    D
    maintenance
    Enables comprehensive analysis of CSV files and SQLite databases through tools for statistics, correlations, anomaly detection, pivot tables, time series analysis, visualization, and automated insights discovery.
    16

  • data-explore

    Mingwei2
    F
    license
    A
    quality
    D
    maintenance
    An MCP server for dataset exploration and analysis, enabling LLM clients to perform summary, correlation, distribution, missing value analysis, data cleaning, and statistical tests directly on CSV files.
    3

  • insight-blueprint

    etoyama
    A
    license
    B
    quality
    B
    maintenance
    A Python MCP server for hypothesis-driven data analysis, managing analysis designs, data catalogs, and review workflows through Claude Code or any MCP-compatible client.
    18
    MIT

  • MCP Data Wrangler

    shibuiwilliam
    A
    license
    B
    quality
    D
    maintenance
    A Model Context Protocol server for data wrangling that provides standardized interfaces for data preprocessing, transformation, and analysis tasks including data aggregation and descriptive statistics.
    16
    8
    MIT

  • Agent Data Bridge

    AriaScarlet132
    A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that provides data bridging from Spring Boot interfaces and a lightweight Python sandbox for script execution. It enables agents to fetch data as Markdown or Parquet files and perform automated data analysis within a controlled environment.
    MIT

  • Quick Data for Windows MCP

    Beaulewis1977
    A
    license
    Not graded
    quality
    C
    maintenance
    A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.
    1
    MIT

  • Market Data MCP Server

    pishnuke
    F
    license
    Not graded
    quality
    D
    maintenance
    Enables fetching market and options data including OHLCV prices, option chains, Greeks, and corporate events through a pluggable FastAPI service. Supports creating aligned training datasets for financial analysis and uses yfinance by default with support for custom data providers.

  • MCP Securities Analysis

    druce
    F
    license
    Not graded
    quality
    D
    maintenance
    A Python-based FastMCP server that provides financial tools for securities analysis, including market data, news, fundamental/technical analysis, and visualization capabilities that can be consumed by any MCP-aware client.
    8

  • xtai-mcp-data-analysis

    vaesonshu
    F
    license
    Not graded
    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.

  • MCP Data Analysis Agent

    SomanGaurav
    F
    license
    Not graded
    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.

  • data-profiler-mcp

    haiiibin
    A
    license
    A
    quality
    A
    maintenance
    Enables LLMs to profile and analyze tabular data files (CSV, Parquet, Excel, JSON) by extracting schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.
    4
    7
    2
    MIT