This is an AWS S3 bucket tool designed for MCP clients. It supports listing buckets, retrieving objects, filtering CSV files, and reading content, optimizing automated access and scalability.

The Model Context Protocol (MCP) is an open - source protocol that provides a series of reference implementations and community - developed servers. It aims to provide large language models (LLMs) with secure and controllable access to tools and data sources. These servers demonstrate the diversity and scalability of MCP, covering various functions from file system operations to database integration, from web search to AI image generation.

The GLM-4.6 MCP Server is an enterprise-level architecture consulting protocol bridging service that connects Claude 4.5 Sonnet and GLM-4.6 through the model context protocol, providing system design, scalability patterns, and technical decision-making support. It supports functions such as code architecture analysis, system architecture design, and decision review.

uMCP is a server implementation of the MCP protocol designed specifically for Unity, used to connect AI agents to Unity applications, with security and scalability.

MCP Server MAS Sequential Thinking is a server environment project focused on enhancing the sequential thinking process, providing modular design, scalability, and multi-language support, suitable for education, research, and application development.

EigenLayer-MCP is a project that provides middleware services, aiming to optimize and expand the functions and applications of blockchains through its unique protocols and technological support.

This is a Docker build server project based on the MCP standard, providing a complete set of Docker operation APIs and tools, supporting SSE and stdio modes, with high scalability and automated management capabilities.

MCPy is a high-performance Minecraft server engine based on Python and Cython. It integrates scientific computing libraries and advanced optimization techniques, aiming to provide excellent performance and scalability. The project is currently in the development stage and includes core modules such as the server engine, world generation, network processing, entity system, and data persistence.

YDB is an open-source distributed SQL database that combines high availability, scalability, strict consistency, and ACID transaction support. It supports multi-tenant and serverless architectures, is suitable for large-scale OLTP workloads, and can automatically handle hardware failure recovery.

Serverless PayPal MCP integration based on Cloudflare Workers, handling API requests, authentication, and secure payments, with low - latency characteristics. Suitable for webhooks, payment verification, and real - time transactions, featuring scalability, light - weight, and security.

Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-developed servers, enabling large language models (LLMs) to securely and controllably access tools and data sources. The project includes various types of server implementations covering multiple domains such as file systems, databases, Git, and Slack, demonstrating the diversity and scalability of MCP.

Bloodhound-MCP is a backend implementation that provides API services for Bloodhound applications, responsible for data processing and request management, with scalability and reliability.

MCP Base is a foundational Python template for building Model Context Protocol (MCP) servers, offering modular tool, prompt, and resource management, supporting multiple transport layers (such as STDIO, SSE, HTTP), and including production-grade best practices for security, scalability, and maintainability.

This project connects OpenAI GPT function calls with real backend APIs through a local MCP server, featuring a modular structure and easy scalability.

This project is a modular FastMCP server based on the Microsoft Graph API, providing enterprise - level identity management functions such as user management, login log query, and MFA status checking, with high scalability and security.