MCP Servers for pandas

pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with structured data both easy and intuitive.

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  • Why this server?

    Leverages pandas for data manipulation and analysis of Formula One data, including race results, telemetry, and driver statistics.

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    This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.
    8
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Used for processing and analyzing cycling data, including performance statistics, race results, and rider histories from FirstCycling.

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    Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.
    18
    Python
    MIT License
    • Apple
  • Why this server?

    Can fetch documentation for the pandas data analysis library in Python, as specifically referenced in the example queries.

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    Fetches and extracts comprehensive package documentation from multiple programming language ecosystems (JavaScript, Python, Java, etc.) for LLMs like Claude without requiring API keys.
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    10
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    The MCP server uses pandas for data manipulation and analysis of weather information.

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    A FastMCP server that provides real-time weather data from KNMI weather stations, allowing users to access temperature, humidity, wind speed, and other weather metrics for any location in the Netherlands through natural language queries.
    4
    1
    Python
    MIT License
    • Apple
  • Why this server?

    Leverages pandas for Excel file operations, data manipulation, filtering, and pivot table creation across multiple file formats.

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    An MCP server that provides comprehensive Excel file operations, data analysis, and visualization capabilities for working with various spreadsheet formats like XLSX, CSV, and JSON.
    8
    2
    Python
  • Why this server?

    Supports installation and usage of pandas library for data analysis as mentioned in the example workflow

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    An interactive Python code execution environment that allows users and LLMs to safely execute Python code and install packages in isolated Docker containers.
    2
    Python
    Apache 2.0
  • Why this server?

    Enables interaction with pandas dataframes when querying and analyzing datasets from Foundry

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    An MCP server that allows AI assistants to interact with Foundry datasets, ontology objects, and functions through natural language queries and commands.
    2
    Python
    MIT License
  • Why this server?

    Integrates with pandas for processing and analyzing database query results before returning them to AI models.

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    A server that enables AI models to interact with MySQL databases through a Model Control Protocol, providing tools for table creation, schema inspection, query execution, and data retrieval.
    20
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Used for data manipulation and analysis of Formula One statistics, handling structured data from race results, lap times, and other performance metrics.

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    Provides Formula One data and statistics through a Model Context Protocol interface, allowing users to access race calendars, session results, driver statistics, telemetry data, and championship standings.
    JavaScript
    MIT License
  • Why this server?

    Leverages pandas library for Excel to CSV conversion functionality, allowing users to transform spreadsheet data to a more accessible format.

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    An MCP server that provides multiple file conversion tools for AI agents, supporting various document and image format conversions including DOCX to PDF, PDF to DOCX, image conversions, Excel to CSV, HTML to PDF, and Markdown to PDF.
    3
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Support for installing and using pandas in Python containers as demonstrated in examples

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    Facilitates isolated code execution within Docker containers, enabling secure multi-language script execution and integration with language models like Claude via the Model Context Protocol.
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    MIT License
    • Linux
    • Apple
  • Why this server?

    Leverages pandas for options data manipulation, strategy analysis, and financial metrics calculations

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    A Model Context Protocol server that enables LLMs to analyze options chains, calculate Greeks, and evaluate basic options strategies through Yahoo Finance data.
    4
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    Utilizes pandas for handling financial data frames, enabling efficient stock screening, filtering, and result organization

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    Provides comprehensive stock screening capabilities through Yahoo Finance. Enables LLMs to screen stocks based on technical, fundamental, and options criteria, with support for watchlist management and result storage.
    13
    Python
    MIT License
  • Why this server?

    Mentioned as an optional dependency that can be included when deploying MCP servers

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    FastMCP is a comprehensive MCP server allowing secure and standardized data and functionality exposure to LLM applications, offering resources, tools, and prompt management for efficient LLM interactions.
    3
    Python
    MIT License
  • Why this server?

    Optional dependency that can be included when running the server to support data manipulation and analysis of Odoo records and datasets.

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    An implementation that integrates with Odoo ERP systems, enabling AI assistants to interact with Odoo data and functionality through the Model Context Protocol.
    Python
  • Why this server?

    Used for processing and analyzing stock data, enabling operations like retrieving historical stock information, monthly price data, and financial metrics.

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    A FastMCP-based service that provides stock data including historical prices, fundamental information, and financial news.
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    • Linux
    • Apple
  • Why this server?

    Uses pandas for station lookup functionality via CSV database of European train stations with coordinates

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    A modular Python wrapper for the SNCF API that integrates with Claude Desktop, enabling intelligent journey planning and train information retrieval across France's railway network.
    Python
  • Why this server?

    Optional dependency that can be specified when starting the MCP server.

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    A Model Context Protocol server implementation that enables connection between OpenAI APIs and MCP clients for coding assistance with features like CLI interaction, web API integration, and tool-based architecture.
    9
    Python
    • Linux
    • Apple
  • Why this server?

    Used for handling and processing financial data retrieved from Yahoo Finance

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    Integrates Yahoo Finance API with LLaMA 3.2 3B, allowing users to retrieve real-time stock prices, company information, historical data, and market news while maintaining the model's original capabilities.
    Python
  • Why this server?

    The README mentions pandas as an optional dependency that can be specified for deployment and development.

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    An MCP server that enables graph database interactions with Neo4j, allowing users to access and manipulate graph data through natural language commands.
    Python
  • Why this server?

    Utilizes pandas as a prerequisite library, likely for data manipulation and analysis within the model execution context

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    Enables integration between SAP HANA Cloud Database and Cursor IDE through the Model Context Protocol, providing standardized interfaces for managing ML models and execution contexts.
    Python
    • Linux
    • Apple
  • Why this server?

    Pandas is used for data manipulation and analysis within the server's technical analysis modules.

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    The MCP Trader Server conducts comprehensive technical analysis on stocks, offering insights into trends, momentum indicators, volatility metrics, and volume analysis to support stock trading decisions.
    29
    Python
    • Apple
  • Why this server?

    Mentioned as an example package that can be installed and used in the isolated containers for data manipulation.

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    Provides isolated Docker environments for code execution, enabling users to create and manage containers, execute multi-language code, save and reproduce development environments, ensuring security and isolation.
    6
    Python
    • Apple