The Saleor MCP Server is a Model Context Protocol service designed for the Saleor e-commerce platform, allowing AI assistants to read product, customer, and order data through an HTTP connection and providing read-only API integration functions.

The Flowbite MCP server is an official tool that enables AI assistants to access Flowbite's Tailwind CSS component library and provides an intelligent theme generator for creating custom brand designs in an AI - driven development environment.

The Gemini MCP Server is a middleware designed for the Claude desktop application, enabling image generation through Google's Gemini AI model. This project provides a convenient installation and configuration wizard, supports Docker containerized deployment, and allows users to customize generation parameters.

Hallucina is a powerful obfuscation tool designed to interfere with and confuse LLM clients of custom MCP servers used in disassemblers such as Ghidra and IDA PRO, forcing reverse-engineering to be done manually.

PHPocalypse-MCP is an MCP server designed for PHP developers, aiming to simplify the process of running tests and static analysis and support customizing tool commands through the configuration file.

Croft is an MCP server toolkit specifically designed for local Laravel development. It provides a variety of development assistance functions through Artisan commands, such as getting screenshot URLs, reading logs, and viewing database structures. It supports extension with custom tools.

Chatty MCP is a voice - interactive plugin designed for editors. It can summarize the operation content via voice after completing an AI request, improving the efficiency of multitasking and supporting custom voice engines.

The Mercadinho Mercantes multi - agent AI assistant is an intelligent customer service system designed for a Brazilian retail chain. It includes three professional AI agents for reception, sales, and customer maintenance, providing services such as product query, sales assistance, customer management, and store operations.

This project builds a real - time AI agent architecture based on the MCP protocol. Through the decoupled design of the LangGraph agent and the remote MCP tool server, a modular and scalable multi - agent system is achieved. The project demonstrates how to integrate the LangGraph agent with a custom MCP server (supporting SSE and STDIO transmission) to achieve asynchronous non - blocking tool calls and support concurrent execution on multiple servers.

This is a Python - based custom MCP (Model Context Protocol) server demonstration project, aiming to show how to build a server that uses a custom protocol for communication. It is suitable for learning network programming and protocol design.

A custom MCP server designed for Claude, supporting the search of Python library documentation

The Shopify MCP server is a tool that interacts with Shopify store data via the GraphQL API. It provides management functions for products, customers, orders, blogs, and articles, supporting operations such as searching, creating, and updating. It is designed specifically for optimization with AI language models.

A model context protocol server designed for Home Assistant, integrating with the Claude desktop client through a custom component.

Easy-MCP-Use is an open-source TypeScript library designed to connect any LLM to any MCP server and build custom agents with tool access rights. It supports multiple LLM models and MCP servers, providing functions such as dynamic server selection, multi-server support, and tool restrictions, enabling developers to easily connect LLMs to various tools.

Activepieces is an open-source automated workflow platform designed to replace Zapier. It provides an extensible, type-safe TypeScript framework, supports the integration of more than 200 services, and features AI-first, enterprise-level security, and human intervention processes. The project emphasizes developer-friendliness and community contributions, and supports multi-language translation and custom templates.

MaxKB is an open-source AI assistant designed specifically for enterprises. It supports the RAG process, workflow engine, and multimodal interaction, and is suitable for scenarios such as intelligent customer service and knowledge bases.