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    Enables data analysis on CSV/Excel files using pandas. Supports profiling, column interpretation, sandboxed code execution, and interactive chart generation.
    4
    MIT
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    Enables AI assistants to query, analyze, and discover FileMaker database schemas via OData v4, with pandas-powered analytics for efficient data summaries.
    13
    10
    GPL 3.0
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    MCP server for querying the Kaggle 'All Natural Disasters 1900-2021 / EOSDIS' CSV dataset via pandas, exposing search and statistics tools.
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    Enables querying CSV or Excel data using natural language through MCP tools, running pandas operations on an uploaded dataset.
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    A read-only MCP server for bounded table discovery, deterministic profiling, and maintained-library statistical testing (Welch's t-test and two-proportion z-test) using SQLite, pandas, SciPy, and statsmodels.
    3
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    An MCP server for chDB, the in-process SQL OLAP engine powered by ClickHouse. Lets agents query Parquet, CSV, JSON, and pandas DataFrames with one tool — no separate server, no Docker.
    7
    Apache 2.0
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    Enables accessing and querying Dutch government open datasets from CBS and data.overheid.nl, with tools for searching, filtering, downloading, and analyzing data using CSV, Parquet, DuckDB, or Pandas.
    9
    MIT
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    Enables AI assistants to perform Japanese business calendar calculations including holiday detection, business day arithmetic, payment date settlement, and deadline management using local data.
    6
    MIT
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    A research-informed MCP server that enables natural language question answering over local dataframes (CSV, Parquet, or Pandas) with safe, read-only execution and typed analysis plans.
    3
    MIT
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    A FastMCP server for natural language data analysis that allows users to load CSV files, execute Python code with pandas and numpy, and generate matplotlib visualizations. It provides a suite of tools for data exploration, statistical summaries, and querying datasets through MCP-compatible clients.
    15
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    An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.
    MIT
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    Enables AI assistants to perform Japanese invoice and tax calculations, including consumption tax, withholding tax, invoice number validation, and invoice data generation, all locally without external APIs.
    MIT
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    MCP server for querying PanDA documentation, analyzing job errors, and retrieving JSON data using multiple AI models.
    1
    Apache 2.0
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    Turns a comma.ai Panda into a conversational CAN reverse-engineering rig, allowing users to record, diff, find signals, and send frames through natural language with Claude.
    MIT