# Modular

An MCP server based on Node.js that provides DuckDuckGo search and web content scraping functions, supporting modular expansion and basic rate limiting.

MCP Servers is a collection of servers and services for a Model Composition Platform (MCP), aiming to promote the integration and deployment of various AI/ML models and services. The project adopts a modular architecture, supporting standardized communication and scalable design, and includes various server types such as weather services.

A minimalist implementation of the Model-Context-Protocol (MCP) pattern for building scalable applications absorbable by Large Language Models (LLMs).

MCP Server Meraki is a standardized interface project for interacting with Meraki infrastructure through the MCP protocol, providing data validation, error handling, and a modular architecture.

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.

A modular MCP server implementation based on Go, providing secure file operations and command execution tools

Medusa's MCP server for integrating AI and automation tools

A modular and extensible MCP server template that provides clear architectural separation, a small and focused file structure, simple extension points, and comprehensive error handling.

MCP Base is a general model context protocol framework for building AI-driven applications. It provides standardized server and client implementations, supporting multiple integrations and modular design.

A local proxy server and client implementation based on the MCP platform, integrating the ability to call multiple AI tools such as weather query, Google search, camera control, AI image generation, and intelligent dialogue, supporting cross-platform operation and modular expansion.

An MCP server implementation based on TypeScript and Express, used to connect AI agents with external APIs, providing movie database interaction functions, supporting real-time communication and modular expansion.

Speikzeug is a modern toolset that provides MCP server integration for automated data processing and system anonymization.

An implementation of a local proxy server and client based on the MCP platform, integrating multiple AI tool functions such as weather query, Google search, camera control, image generation, and intelligent dialogue, supporting modular expansion and high-performance concurrent processing.

A Java - based MCP Server Factory project aiming to help understand and build other MCP servers, providing component understanding, templates, and best practices, adopting high - quality code standards and modular design.

mcp-core is a core monorepo for building intelligent language-driven backend services, supporting a modular MCP ecosystem and enabling natural language command parsing and task execution.

This project implements an MCP server for interacting with the Wolfram Alpha API, enabling chat applications to perform calculation queries and obtain structured knowledge. It includes an MCP client example based on Gemini, demonstrating how to connect a large - language model to the MCP server for real - time interaction with the Wolfram Alpha knowledge engine.

An MCP server project based on C# and Firebird, supporting dynamic queries and custom tools, and implementing modular command processing through the MCP platform.

mcp-graphql-forge is a lightweight, configuration-driven MCP server that defines GraphQL queries as modular tools through YAML files, enabling agents to interact with APIs purposefully.

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.

A task management API based on TypeScript and WebSocket, supporting modular command execution and AI agent integration, using the SQLite database.

A SharePoint integration project based on.NET, Graph API, and Semantic Kernel, which uses a modular architecture to enable an AI chatbot to securely access enterprise SharePoint data.

MCP is an open - source protocol developed by Anthropic, aiming to provide a standardized way for AI models to interact with external data sources and tools. The project implements functions such as weather queries, Google automatic searches, and camera control. It is highly configurable and suitable for scenarios such as intelligent assistants and automated workflows.

This is a modular Outlook MCP server project that integrates Claude with Outlook through the Microsoft Graph API, providing functions such as authentication and email management.