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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"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.
An MCP server that allows you to run TypeScript, JavaScript, and Python code in a sandbox on your local machine using the Deno® sandbox. This server provides a controlled environment for executing code with explicit permission controls.
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.
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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 a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools.
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