The Zen7 Payment Agent is the first practical implementation of a DePA decentralized payment agent. It adopts a multi - agent collaborative architecture, supports the A2A and MCP protocols, and provides multi - chain and multi - currency payment solutions for AI agents and Dapp applications, enabling automated cryptocurrency payments and LLM - driven intent recognition.

The Bitrise MCP Server is a middleware service that provides access to Bitrise APIs and supports functions such as application management, build operations, and artifact management.

A WeChat official account API integrated service based on the MCP protocol, providing functions such as material management, draft editing, and article publishing for AI applications.

An MCP server for downloading and parsing Substack articles, which can be integrated with the Claude.ai desktop application.

An AI note application based on the MCP protocol, supporting a dual-server architecture and DynamoDB storage

An MCP server implementation designed for the Claude desktop application, providing persistent memory functions for large language models, including a tiered memory architecture, multiple memory types, and semantic search features.

Gaia-X is an enterprise-level AI application platform based on a new generation of AI paradigms. It solves the core pain points of enterprise AI products through an innovative technical architecture and provides core functions such as multi-agent collaboration, natural language RPA, and MCP protocol support.

The Alibaba Cloud Observable MCP Service provides a series of tools to access products such as Alibaba Cloud Log Service SLS and Application Real - time Monitoring Service ARMS. It supports functions such as natural language to query conversion, log analysis, and performance monitoring.

STeLA MCP is a Python - based local system operation service that provides secure command execution and file management functions through standardized API interfaces. It uses the MCP protocol architecture to achieve secure interaction between applications and the local system.

GUARDRAIL is a security framework specifically designed for the large language model (LLM) application ecosystem, providing comprehensive protection especially for the Model Context Protocol (MCP). It uses a multi - layer architecture, including an information gateway layer, a context verification layer, a request control layer, an execution isolation layer, and an audit monitoring layer, aiming to prevent data leakage, unauthorized access, and resource abuse. This framework emphasizes progressive adoption, allowing developers to gradually enhance security while maintaining high performance and ease of use.

An implementation of the MCP server based on iFlytek, supporting intelligent workflow scheduling and multi - model hybrid application architecture.

An MCP server implementation designed for the Claude desktop application, providing persistent memory functions, including a tiered memory architecture, multiple memory types, and semantic search features.

This project provides FastMCP server support for the regulation information system of the Turkish Ministry of Justice, enabling functions such as regulation search, obtaining the list of articles, and extracting article content in Markdown format, facilitating use by LLM applications and other clients.

MCP - ChatBot is a chatbot application based on the Modular Capability Protocol (MCP). It integrates weather services and the GPT - 4o model through a containerized architecture to provide natural language interaction capabilities.

The ArgoCD MCP Server is a protocol service integrating the ArgoCD API that allows managing ArgoCD applications and resources through natural language interaction.

This project is part of the Model Context Protocol (MCP) ecosystem. It provides an MCP server that interacts with the Status Invest API for querying stock market data, such as stock prices, indicators, and payment dates. The project adopts a layered architecture design, including the domain layer, infrastructure layer, application layer, and interface layer, and supports data validation and external API integration.

Createve.AI Nexus is an open - source project that bridges the gap between AI agents and enterprise systems by implementing the Model Context Protocol (MCP) standard. It provides secure, real - time data access and system integration capabilities. It supports multiple AI platforms, has an enterprise - level security architecture, and can connect various business applications, sensor data, and document management systems.

Agentic is an intelligent business service system based on the agent architecture. It coordinates the RAG service and monitoring service through the central application proxy to provide comprehensive solutions.

An example of a locally running MCP server that uses FastMCP and Feedparser to integrate the latest BBC News articles into the Claude desktop application.

The Argo CD MCP server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with Argo CD applications through natural language and supporting clients such as VS Code to integrate through stdio and SSE protocols.

The ARC MCP Server is an innovative platform that provides tools such as document assistance, API integration, project generation, and deployment support through the seamless integration of AI models and the ARC enterprise application framework, accelerating the development of enterprise-level cloud-native applications.

MCP Server is a server-side application project that demonstrates various features and best practices in server development, providing core functions such as a modern architecture, RESTful API, and security authentication.

The MCP protocol standardizes the interaction between applications and LLMs, and realizes unified management of tool invocation, resource access, and prompt templates through a modular architecture (server, client, host). This project demonstrates how to build an MCP server and client that support knowledge base queries, context selection, and analysis processes.

The Squad MCP server is a protocol service that connects the Squad product discovery platform with large language model applications, providing a rich toolset for creating, querying, and updating product strategy artifacts directly from an AI assistant.

A lightweight application based on Gradio that uses Hugging Face Transformers for sentiment analysis and sarcasm detection, compatible with the MCP architecture and can run on CPUs.

The arXiv tool is an MCP server that provides functions for querying arXiv papers, downloading HTML, extracting specific chapters, and interacting with the Claude desktop application.

A TypeScript - based MCP server that provides functions for interacting with the ArangoDB database, supports core operations such as querying, inserting, updating, and deleting, and can be integrated into Claude applications and VSCode extensions.

An MCP server that provides four arithmetic operation functions, supports addition, subtraction, multiplication, and division operations, and can be called through the Claude application.

The project introduces the advantages of the MCP architecture in AI applications. By comparing single-server and multi-server clients, it shows how to efficiently connect mathematical and weather services and use the LangGraph ReAct agent for intelligent calculations.

The Arcjet MCP Server is a tool that provides context for AI agents, helping developers integrate Arcjet's security protection features into applications, including functions such as listing teams and sites.

AWorld is a multi - agent system framework aiming to bridge the gap between theoretical MAS capabilities and practical applications, providing a full - set solution from single - agent to multi - agent collaboration/competition. The project supports scenarios such as browser/mobile operations and GAIA benchmark testing, adopts a client - server architecture, integrates a rich toolchain, and includes performance evaluation and training functions.