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maintenanceVizro is a low-code toolkit for building high-quality data visualization apps.
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Best pandas MCP Servers
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?
Facilitates data loading and analysis through pandas DataFrames, supporting local and remote datasets for visualization in Vizro dashboards
Why this server?
Supports pandas dataframes as an input format for graph visualization, allowing transformation of tabular data into interactive network visualizations.
Graphistry MCPofficial
AlicenseAqualityFmaintenanceGPU-accelerated graph visualization and analytics server for Large Language Models that integrates with Model Control Protocol (MCP), enabling AI assistants to visualize and analyze complex network data.172 npm11MITWhy this server?
Provides a pandas-like API and zero-copy DataFrame querying, enabling SQL queries on pandas DataFrames.
Why this server?
Enables data analysis and manipulation including pivot tables, statistical analysis, and correlation calculations.
AlicenseAqualityCmaintenanceProvides 21 mathematical tools across 6 domains including basic calculations, array operations, statistics, financial mathematics, linear algebra, and calculus. Supports batch execution for complex multi-step workflows with intelligent dependency resolution.216MITWhy this server?
Utilizes pandas for handling financial data frames, enabling efficient stock screening, filtering, and result organization
AlicenseBqualityBmaintenanceProvides 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.448MITWhy this server?
Leverages pandas for data manipulation and formatting of whale transaction data into clean Markdown tables for presentation
AlicenseBqualityDmaintenanceAn MCP server that provides real-time whale alerts on Hyperliquid.114MITWhy this server?
Leverages pandas for data manipulation and analysis of Formula One data, including race results, telemetry, and driver statistics.
AlicenseAqualityCmaintenanceThis 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 FastF1.82MITWhy this server?
Uses pandas for data manipulation and analysis of Formula One racing datasets, including results, telemetry, and performance metrics
AlicenseAqualityDmaintenanceA Model Context Protocol server that provides comprehensive Formula One racing data, enabling access to event schedules, driver information, telemetry data, race results, and performance analytics through natural language queries.81MITWhy this server?
Provides comprehensive CSV data manipulation capabilities including filtering, cleaning, statistical analysis, and transformation operations using pandas as the core data processing engine
AlicenseBqualityDmaintenanceComprehensive CSV processing MCP server with 40+ operations for data manipulation, analysis, and validation. Features auto-save, undo/redo, and handles GB+ files3925MIT
