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.

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.

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.

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.

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 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.