npx -y taskflow-ai{
"mcpServers": {
"taskflow-ai": {
"command": "npx",
"args": [
"-y",
"taskflow-ai"
]
}
}
}taskflow-ai is a community MCP server that connects AI assistants like Claude to taskflow ai - 智能prd文档解析与任务管理助手,支持多模型ai协同、mcp编辑器集成,专为开发团队设计的cli工具. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.
About taskflow-ai
Overview
TaskFlow AI - 智能PRD文档解析与任务管理助手,支持多模型AI协同、MCP编辑器集成,专为开发团队设计的CLI工具
Links
Topics
ai, task-management, prd-parser, project-planning, mcp, model-context-protocol, mcp-server, docker-mcp-registry, ai-orchestration, project-orchestration, cursor, windsurf, trae, vscode, claude-desktop, deepseek, zhipu, qwen, cli-tool, typescript
Who Should Use taskflow-ai?
- 1Chain AI models and pipelines through a unified MCP interface
- 2Let Claude orchestrate other AI tools and models
- 3Integrate embeddings, image generation, or speech APIs into your workflow
- 4Build multi-model workflows without writing custom integration code
How to Install taskflow-ai
Before you start
You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.
- 1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
- 2Paste the install command above and press Enter — Node.js will download and run the server automatically.
- 3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.
The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.