Eino is an LLM application development framework designed specifically for Golang, aiming to simplify the AI application development process through concise, scalable, reliable, and efficient component abstraction and orchestration capabilities. It provides a rich component library, powerful graphical orchestration functions, complete stream processing support, and a highly scalable aspect mechanism, covering the full-cycle toolchain from development to deployment.

This project demonstrates a real-time multi-tool agent architecture based on LangGraph and the MCP protocol. By decoupling agent orchestration and tool execution, it realizes a modular and scalable AI system. The MCP service supports multiple transport protocols (SSE/STDIO), allows AI agents to dynamically call remote tools, and has cross-language and cloud deployment capabilities.

iFlytek Workflow MCP Server is an AI workflow scheduling system based on the MCP protocol, supporting multiple node types and advanced orchestration modes, enabling intelligent business process automation.

RuleGo-Server is a lightweight, high-performance, modular automated workflow platform based on RuleGo. It supports visual orchestration, hot updates, AI support, and multi-tenancy, and is suitable for various scenarios such as iPaaS, API orchestration, and IoT rule engines.

The AI Cognitive Nexus is a professional AI team collaboration and orchestration system that supports the dynamic creation and management of multi - agent teams to solve complex tasks through hierarchical collaboration.

An AI-driven research orchestration service based on Cloudflare Workers that provides comprehensive and structured research answers by intelligently analyzing queries, invoking multiple professional tools in parallel, and integrating the results.

This project provides a Dagster service interface based on the Model Context Protocol, enabling AI agents to interact with the Dagster data orchestration platform for data pipeline exploration, run monitoring, and asset management.

Enterprise-level MCP task management server, providing intelligent task orchestration, evaluation and scoring, and sessionized workflow tracking, designed specifically for AI assistant integration.

MCP-ANY-REST is a REST API connector based on the Model Context Protocol standard. It enables secure and efficient connection between AI models and business systems through the ZML configuration language, supporting service orchestration and token authentication.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), offering dozens of powerful tool capabilities, including cognitive enhancement, tool usage, and intelligent orchestration. The system exposes functions through standardized MCP tools, enabling advanced AI agents to access a rich tool ecosystem and specialized services while optimizing costs, performance, and quality.

The Smart MCP Server is an intelligent middleware server that dynamically manages tool selection and execution through context awareness technology. It integrates a variety of AI and development tools, supporting complex workflow orchestration and document automation processing.

Agent MCP is an open-source project directory focusing on AI agent and MCP orchestration, providing functions to browse and search AI agent repositories, and supporting user authentication and search history saving.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), providing dozens of powerful tool capabilities, including intelligent task delegation, document processing, browser automation, Excel operations, etc. It achieves cognitive enhancement and complex task orchestration of AI agents through standardized MCP tools.

MCP Router is a Python toolkit for managing MCP servers and interacting with OpenRouter AI models, supporting multi-step workflow orchestration and intelligent task analysis.

This project demonstrates how to integrate Model Context Protocol (MCP) tools with Microsoft Semantic Kernel to achieve seamless interaction between AI models and external data sources or tools. By standardizing the interaction between applications and AI models through the MCP protocol and combining the powerful functions of Semantic Kernel, developers can expand AI capabilities, dynamically call external functions, and simplify the orchestration of complex workflows.

This project implements an AI-based workflow orchestration MCP server, achieving intelligent decision-making and dynamic adjustment through large language models (LLMs), supporting complex task decomposition, state persistence, and workflow recovery.

Agentis MCP is a flexible multi - agent framework for building powerful AI agents, supporting MCP server connection, and providing functions such as tool access, resource retrieval, and multi - agent workflow orchestration.

This is a prototype of a resume optimization server based on the MCP protocol, demonstrating an AI tool orchestration architecture that includes tools such as data acquisition and heap filtering, supports integration with Claude, and has the ability to expand in a production environment.

MCP - Codex is a tool orchestration service based on the Model Context Protocol (MCP). It realizes the dynamic discovery and invocation of tools for AI assistants through the intelligent agent 'The Librarian', solving the problem that traditional MCP requires restarting to add new tools. Although the project has stopped development, its architectural design still has reference value in the field of AI tool orchestration.

The MCP Server for ServiceNow is a modular and extensible solution that integrates with ServiceNow via the Model Context Protocol (MCP). It provides a series of API tools covering various use cases such as ITSM, ITOM, SAM, HAM, enhanced CMDB, PPM, employee experience, reporting and analysis, dynamic tool registration, and workflow orchestration. This solution is suitable for integration with AI agents or other external systems to automate processes such as access provisioning, incident management, and asset lifecycle management.

AppBuilder-SDK is an AI-native application development toolkit provided by Baidu Smart Cloud Qianfan Platform, supporting model calls, component orchestration, and monitoring deployment.