数据分析 资源

New Zealand Government Debt Trends (2002-2025) with Metrics using Plotly Open Source Graphing JS Library (Plotly Website) / Plotly Open Source Graphing JS Library (Plotly GitHub) charting generated with historical static data from various (28) reputable sources - refer to data sources provided below table section.

JeffersonStats is a powerful, high-performance statistical analysis server built on the FastMCP framework. It provides a comprehensive suite of statistical tools accessible via a clean, intuitive API. Whether you're performing basic descriptive statistics or advanced statistical tests, JeffersonStats delivers accurate results with minimal configuration.

MCP Server for providing detailed financial data for companies listed on the Bombay Stock Exchange (BSE) and National Stock Exchange (NSE), empowering users with comprehensive insights into the dynamic Indian stock market.

An advanced Tesla analytics platform for Claude Desktop through the Tessie API. This extension provides 39+ tools for comprehensive vehicle data access, advanced analytics, experimental FSD detection, and data export capabilities.

Transform your Power BI experience - ask questions in natural language and get instant insights from your data.

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A powerful Model Context Protocol (MCP) server for creating interactive data visualizations using matplotlib. This server provides comprehensive visualization tools including relationship graphs, scatter plots, 3D visualizations, and more.

A comprehensive Model Context Protocol (MCP) server for stock analysis and trading insights. This server provides advanced stock screening, fundamental analysis, insider trading data, social media sentiment, and news analysis capabilities.

This project provides a Model Context Protocol (MCP) server for exploring, analyzing, and answering questions about Medicare datasets and documents.

Senior Data Scientist.: Dr. Eddy Giusepe Chirinos Isidro

Bagel allows you to extract, transform, and analyze robotics data fast.

A Model Context Protocol (MCP) server that provides comprehensive data analysis utilities including statistical functions, probability distributions, and data processing tools.

A comprehensive Model Context Protocol (MCP) server that provides advanced PDF text extraction, search, and analysis functionality.

Simple Monte Carlo power analysis for complex models. Find the sample size you need or check if your study has enough power - even with complex models that traditional power analysis can't handle.

A Model Context Protocol server providing market research and business analysis capabilities through 28 tools, 15 business prompts, and integration with 8 economic data sources.

This application is a Node.js-based chatbot that interacts with users using data from a CSV file. The main logic resides in index.ts and the csv-chat module.

A Python-based flow for securities analysis using the Model Context Protocol (MCP). The repository bundles market data, parsing, analytics and visualisation tools behind a FastMCP server so that they can be consumed locally or remotely by any MCP-aware client (e.g. Claude Desktop, LangChain).

The method for testing the significance of multiple correlations (MCPerm )

This is an MCP server that provides access to housing related data in Hong Kong through a FastMCP interface.

A Python-based tool for fetching and visualizing stock data using MCP (Model-Controller-Presenter) architecture. This tool provides interactive stock charts with various technical indicators and analysis features.

This is a Model Context Protocol (MCP) server that provides comprehensive financial data from Financial Modeling Prep. It allows you to retrieve detailed information about stocks, including historical prices, company information, financial statements, options data, and market news.

This is an MCP server that provides access to finance related data in Hong Kong through a FastMCP interface.

The analysis code for Thomson parabola spectrometer (TPS). The approval file is an image data obtained with IP, MCP, e.t.c.

A stock analysis application powered by Model Context Protocol (MCP) for real-time data and investment insights.

I've developed this Multi-Context Processing (MCP) system to handle and process multiple contexts efficiently. The project simulates a robust architecture for managing complex data processing tasks with a focus on scalability and maintainability.

This project is an end-to-end analytics solution for e-commerce platforms, featuring:

A Model Context Protocol (MCP) server that enhances Claude's capabilities by providing access to website analytics data from Umami. This server allows Claude to analyze user behavior, track website performance, and provide data-driven insights.

MCP (Model-Controller-Processor) pandas

This project is a server built using the FastMCP framework, providing various tools for accessing and analyzing stock market data.

A modern bridge connecting Dune Analytics data to intelligent agents through Model Control Protocol (MCP).

A modern, interactive dashboard for visualizing and analyzing Charles Proxy log files.

OpenDart-MCP DART (Data Analysis, Retrieval and Transfer System) API Model-Context Protocol (MCP) , .

Mysheet-mcp is a MCP Server for converting Excel files into JSON format, particularly useful for data processing when called within large models or Agents. This project supports parsing Excel files and temporarily storing the files contained within the Excel in a configured temporary directory.

This repository provides a simple command line tool to fetch cancer variant annotations from the CIViC API. It can be used to keep oncology variant information up to date and can serve as a starting point for further automation.

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This is a simple MCP server, able to find the lastest stocks on the trading markets. It also gives you informations about companies.

Describe your data in plain language. Well turn it into stunning, interactive charts automatically.

MCP WX Insight Server is an MCP server for data analytics. It provides data interaction and business intelligence features via MySQL. The server supports running SQL queries, analyzing business data, and automatically generating business insight memos. It supports both single-database and cross-database analysis modes, which is especially useful when analyzing multiple tables with identical DDLs (e.g., sharded group chat message tables). The server only requires read access for analysis; write and delete operations are not within scope. Please ensure your data is prepared in MySQL before use.

This repository contains a Python-based system for importing and processing tax-related data files. The system handles various fixed-width text files containing tax information, account details, and property data.

MCP server for teamfight tactics match history & match details fetching, providing user the detailed context for every match.

A MCP Server that delivers finance data

A Model Context Protocol (MCP) server for Yahoo Finance interaction. This server provides tools to get pricing, company information, and generate financial visualizations.

This project implements a simple Model Context Protocol (MCP) server that provides real-time stock data, historical analysis, and stock comparisons using the Yahoo Finance API.

An MCP server based on akshare-one, providing interfaces for China stock market data. It offers a set of tools for retrieving financial information including historical stock data, real-time data, news data, financial statements, etc.

MCP is a statistical profiling module for Python.

Statistical model checking of pMC

Python scripts for running private Monte Carlo event production for the CMS experiment as the LHC.

mcp does regression with one or Multiple Change Points (MCP) between Generalized and hierarchical Linear Segments using Bayesian inference. mcp aims to provide maximum flexibility for analyses with a priori knowledge about the number of change points and the form of the segments in between.

A quick start guide to setting up a minimal data stack using dlt and DuckDB, and then leveraging the DuckDB MCP server with VSCode + GitHub Copilot for AI-powered SQL operations. Written as a companion to my MCP Servers for Dummies blog post.

mcp does regression with one or Multiple Change Points (MCP) between Generalized and hierarchical Linear Segments using Bayesian inference. mcp aims to provide maximum flexibility for analyses with a priori knowledge about the number of change points and the form of the segments in between.

The MCP is a python package that matches one list of structures (e.g dark matter haloes) to other (e.g. cluster detections) using Cylindrical Matching and FoF+Cylindrical Matching.