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"A debugger for reverse engineering and software analysis" matching MCP servers:

  • F
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    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.
    6
  • A
    license
    A
    quality
    A
    maintenance
    50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.
    50
    376
    5
    MIT
  • A
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    quality
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    A fast, safe MCP server for YNAB providing read-only budget access by default, with 28 tools for budgets, transactions, categories, payees, accounts, scheduled transactions, and server-computed analytics.
    MIT
  • A
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    quality
    D
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    MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.
    MIT
  • F
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    quality
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    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
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    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
  • F
    license
    A
    quality
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    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
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    B
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    Enables LLMs to retrieve, analyze, and visualize stock prices and financial report data for quantitative trading research and investment analysis. Provides real-time and historical stock data, financial statement analysis, key metric calculations, and trading signal visualization.
    13
  • F
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    Provides full execution and management capabilities for Microsoft Fabric Data Engineering workloads, including notebooks, pipelines, Lakehouses, and Spark jobs. It enables users to trigger runs, monitor status, manage workspace items, and configure job schedules through natural language.
  • F
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    quality
    F
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    Enables comprehensive stock market analysis with portfolio management, technical indicators, dividend tracking, sector analysis, risk metrics, and price alerts. Provides real-time stock data, trend analysis, and investment insights through natural language interactions.
  • F
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    quality
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    An AI-driven tool for processing survey data that supports cross-tabulation, NPS and satisfaction scoring, and automated Excel report generation. It enables users to analyze datasets via natural language for tasks like merging response options and identifying demographic differences.
  • F
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    quality
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    Enables real-time stock market analysis through AKShare API integration. Supports retrieving live stock prices, historical data, technical indicators (MA, MACD, RSI), market sentiment analysis, stock search, and financial news.
    5