Use Case
OpenClaw MCP Debugger isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Universal adapter diagnostics for Model Context Protocol (MCP). It automatically detects connection issues between agents and external tools, providing deep-... This guide covers how to deploy OpenClaw MCP Debugger for your team, standardize prompts, and create shared workflows that everyone can use.
Install OpenClaw MCP Debugger in your project directory: .claude/skills/openclaw-mcp-debugger/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use OpenClaw MCP Debugger in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing OpenClaw MCP Debugger
How can my team use OpenClaw MCP Debugger together?
Set up OpenClaw MCP Debugger for our project so everyone can use it
Create a shared workflow using OpenClaw MCP Debugger for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install openclaw-mcp-debuggerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install openclaw-mcp-debuggerβ 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/openclaw-mcp-debugger/π‘Extract and place the folder at the path above, then restart your agent.