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.
Why this server?
The MCP server uses pandas for data manipulation and analysis of weather information.
AsecurityAlicenseAqualityA 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.41PythonMIT LicenseWhy this server?
Leverages pandas for high-quality processing of Excel files, supporting multi-worksheet handling and automated data type conversion.
-securityAlicense-qualityA powerful Model Context Protocol framework that extends Cursor IDE with tools for web content retrieval, PDF processing, and Word document parsing.4PythonMIT LicenseWhy this server?
Support for installing and using pandas in Python containers as demonstrated in examples
-securityAlicense-qualityFacilitates isolated code execution within Docker containers, enabling secure multi-language script execution and integration with language models like Claude via the Model Context Protocol.PythonMIT LicenseWhy this server?
Leverages pandas for options data manipulation, strategy analysis, and financial metrics calculations
-securityAlicense-qualityA Model Context Protocol server that enables LLMs to analyze options chains, calculate Greeks, and evaluate basic options strategies through Yahoo Finance data.3PythonMIT LicenseWhy this server?
Utilizes pandas for handling financial data frames, enabling efficient stock screening, filtering, and result organization
-securityAlicense-qualityProvides 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.10PythonMIT LicenseWhy this server?
Mentioned as an optional dependency that can be included when deploying MCP servers
-securityAlicense-qualityFastMCP 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.2PythonMIT LicenseWhy this server?
The README mentions pandas as an optional dependency that can be specified for deployment and development.
-securityFlicense-qualityAn MCP server that enables graph database interactions with Neo4j, allowing users to access and manipulate graph data through natural language commands.PythonWhy this server?
Optional dependency that can be specified when starting the MCP server.
-securityFlicense-qualityA 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.6PythonWhy this server?
Utilizes pandas as a prerequisite library, likely for data manipulation and analysis within the model execution context
-securityFlicense-qualityEnables integration between SAP HANA Cloud Database and Cursor IDE through the Model Context Protocol, providing standardized interfaces for managing ML models and execution contexts.PythonWhy this server?
Pandas is used for data manipulation and analysis within the server's technical analysis modules.
-securityFlicense-qualityThe 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.14PythonWhy this server?
Mentioned as an example package that can be installed and used in the isolated containers for data manipulation.
-securityFlicense-qualityProvides 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.3Python