Which MCP clients are supported?
Claude Code, Claude Desktop, Cursor, Cline (VS Code extension), Windsurf (Codeium), VS Code with an MCP extension, and Zed.

@kingkongshot
Guide AI to systematically complete software development through a structured **Requirements → Design → Tasks** workflow, ensuring code implementation stays aligned with business needs.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"spec-workflow": {
"command": "npx",
"args": [
"-y",
"spec-workflow-mcp@latest"
]
}
}
}Manage intelligent writing workflow for software project requirements, design, and task documents. Supports initialization, checking, skipping, confirmation, and task completion operations (single or batch).
Spec Workflow Mcp is an MCP server that helps developers create structured specification documents (requirements, design, tasks) using AI assistants. It integrates with any MCP-compatible client and is designed for anyone building software projects.
Install the server via npx (npx -y spec-workflow-mcp@latest) and add it to your MCP client’s configuration (e.g., Claude Desktop, Cursor, or Windsurf). Then ask your AI to “use spec workflow” for a project—the AI will automatically detect project status and guide you through creating requirement, design, and task documents step by step.
Claude Code, Claude Desktop, Cursor, Cline (VS Code extension), Windsurf (Codeium), VS Code with an MCP extension, and Zed.
Node.js v18.0.0 or higher and npm or yarn.
The recommended method is `npx -y spec-workflow-mcp@latest`. You can also install from source by cloning the repository, running `npm install && npm run build`, and pointing your client to the built `index.js`.
Use the `specs-workflow` tool with `action.type="check"` and `path` set to your specs directory. The server will return the current status.
Use the `specs-workflow` tool with `action.type="complete_task"` and `taskNumber` set to the current task number. The server will automatically return the next pending task.
Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration
# 🐢🚀 Node.js Sandbox MCP ServerThis repository hosts a Node.js server that implements the Model Context Protocol (MCP) for running JavaScript in isolated Docker containers. It allows for on-the-fly npm dependency installation, making it easy to execute code safely and efficient
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
MCP server that gives Claude persistent project memory — roadmap, session history, and codebase context. Type continue and Claude picks up exactly where you left off
This is a very basic implementation of an Mcp-Reasoning-Server for Cursor AI .
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