This is a continuously updated curated list of MCP servers, covering multiple categories such as browser control, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, games, knowledge and memory, location services, marketing, monitoring, search, and utilities. Each project comes with a GitHub link and the number of stars, making it easy for users to quickly understand and use.

This is a server that implements the MCP code execution mode. Through a single-tool bridge and zero-context discovery mechanism, it reduces the overhead of MCP tool calls from tens of thousands of tokens to about 200 tokens and securely executes Python code in the root container, supporting data science and secure isolation.

Ruchy is a modern programming language for data science and scientific computing, with a self - hosted compiler, a comprehensive toolchain, and enterprise - level quality standards.

MCP-DBLP is a service based on the Model Context Protocol (MCP) that provides large language models with the ability to access the DBLP computer science literature database, including functions such as search, citation processing, and BibTeX export.

This project demonstrates how to integrate MCP agents with NASA's Open Science Data Repository (OSDR) tools to achieve the fetching, analysis, and summary generation of biological data.

This is a comprehensive collection of Model Context Protocol (MCP) servers, covering multiple categories such as AI services, art and culture, browser automation, cloud platforms, cloud storage, command lines, communication, customer data platforms, data science tools, databases, developer tools, file systems, finance, games, knowledge and memory, location services, marketing, monitoring, notes, other tools and integrations, research and data, search, security, social media, system automation, travel and transportation, version control, and workflow automation.

MCP Server is a multi-functional data exploration tool that can serve as a personal data science assistant, transforming complex datasets into clear and actionable insights. It supports loading CSV data through the Claude desktop application, executing Python scripts, and automatically generating data analysis reports and visual charts.

A Python MCP server designed for the UK Science Museum Group API, allowing LLMs to access museum data and supporting integration with Claude Desktop