A high-performance diagnostic suite designed to debug, monitor, and repair Model Context Protocol (MCP) connections for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-mcp-debugger
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-mcp-debugger using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is OpenClaw MCP Debugger?
The OpenClaw MCP Debugger is a critical infrastructure tool designed for developers building within the 2026 Agentic Economy. It serves as a universal adapter diagnostic system that ensures the stability of the Model Context Protocol (MCP), which bridges AI agents with external tools and datasets. By focusing on protocol stability, it transforms AI tools from experimental prototypes into reliable production infrastructure.
Integrating this skill into your workflow ensures that your Openclaw Skills maintain high uptime. It provides deep inspection of handshakes and binary streams, allowing you to catch errors before they interrupt agentic workflows. Whether you are running local MCP servers or remote adapters, this debugger provides the visibility needed for operational excellence.
OpenClaw MCP Debugger Use Cases
- Monitoring real-time health of local MCP servers like SQLite, Google Search, or custom adapters.
- Identifying performance bottlenecks through LLM-to-tool latency audits.
- Troubleshooting failed handshakes between AI agents and external protocol adapters.
- Automatically restoring service for crashed MCP server instances to prevent workflow interruptions.
How OpenClaw MCP Debugger Works
- The skill initializes a protocol audit by intercepting the handshake between the agent and the MCP server.
- It performs a deep-trace analysis of binary streams to identify malformed packets or connection timeouts.
- A latency tracker measures the round-trip time for tool calls, providing granular data on performance.
- If a failure is detected, the auto-fixer logic attempts to restart the target MCP process to maintain service continuity.
OpenClaw MCP Debugger Setup
To get started with this diagnostic tool, ensure you have the OpenClaw CLI installed and your environment configured. You can execute the debugger across all registered adapters with a single command:
npx openclaw skill run openclaw-mcp-debugger --all
Ensure your environment variables for local MCP servers are correctly configured to allow the debugger to hook into the process streams.
OpenClaw MCP Debugger Data Schema & Taxonomy
The debugger generates structured logs and reports regarding connection health and performance metrics for your Openclaw Skills environment.
| Field | Description |
|---|---|
latency_ms |
Round-trip time in milliseconds for tool invocation |
status |
Current state of the MCP server (online/offline/error) |
handshake_log |
Detailed trace of the initial protocol connection sequence |
auto_repair_count |
Number of times the skill successfully restarted a crashed server |
OpenClaw MCP Debugger Advanced Features
- Real-time binary stream inspection for low-level protocol debugging and packet analysis.
- Automated repair paths that restart crashed adapters without manual intervention.
- High-resolution latency tracking for performance optimization of Openclaw Skills.
- Comprehensive protocol audits designed to support the Sovereign Protocol infrastructure.
SKILL.md
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