ZenTao MCP large model capability expansion pack. It provides four sets of native capabilities including cross-project data aggregation view, one-sentence task generation, seamless log effort, and automatic status transfer.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install mcp-zentao-proOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install mcp-zentao-proβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/mcp-zentao-pro/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What ZenTao MCP agent pro can do for your AI workflow
Zentao mcp large model directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing ZenTao MCP agent pro
Help me get started with ZenTao MCP agent pro
Explains what ZenTao MCP agent pro does, walks through the setup, and runs a quick demo based on your current project
Use ZenTao MCP agent pro to zenTao MCP large model capability expansion pack
Invokes ZenTao MCP agent pro with the right parameters and returns the result directly in the conversation
What can I do with ZenTao MCP agent pro in my developer & devops workflow?
Lists the top use cases for ZenTao MCP agent pro, with example commands for each scenario
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ZenTao MCP agent pro extends your AI assistant with the ability to zenTao MCP large model capability expansion pack. It provides four sets of native capabilities including cross-project data aggregation view, one-sentence task generation, seamless log effort, and automatic status transfer. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using ZenTao MCP agent pro as its underlying capability.
ZenTao MCP agent pro works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install ZenTao MCP agent pro once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
ZenTao MCP agent pro installs like any other MCP skill: drop the folder into `~/.claude/skills/mcp-zentao-pro/` for global access, or `.claude/skills/mcp-zentao-pro/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/mcp-zentao-pro`, or let the AI decide when it's the right tool for your request.
ZenTao MCP agent pro has 329 installs and is part of the growing Developer & DevOps skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/mcp-zentao-pro/ for personal use (all projects), or .claude/skills/mcp-zentao-pro/ for project-specific use. Restart your AI client, then invoke with /mcp-zentao-pro or let the AI discover it automatically.
ZenTao MCP agent pro supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
ZenTao MCP agent pro is free to install. Check the repository for licensing information.
ZenTao MCP large model capability expansion pack. It provides four sets of native capabilities including cross-project data aggregation view, one-sentence task generation, seamless log effort, and automatic status transfer.
Links
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