闲社服务运行正常AI智能体自动化平台
客户端下载帮助中心服务商入驻
免费注册
技能集市 > AI智能 > openclaw-mcp-debugger
o

MCP调试器

技能标识：openclaw-mcp-debugger

Universal adapter diagnostics for Model Context Protocol (MCP). It automatically detects connection issues between agents and external tools, providing deep-trace debugging for the 2026 Agentic Economy.

作者：admin | 来源记录：ClawHub
下载
登记来源
ClawHub
版本
V 1.0.0
检测标记
后台标记通过
免费
免费获取
2
收藏
来源与检测标记为平台登记信息，并不代表已展示可复核的检测报告。使用前请核对版本、依赖和所需权限，建议先在隔离环境中运行。
概述
安装方式
版本历史

MCP调试器

OpenClaw MCP 调试器

管理复杂MCP环境的终极工具包。随着AI代理从玩具过渡到基础设施，协议稳定性至关重要。本技能为您的本地MCP服务器提供实时健康检查、延迟审计和自动修复路径。

功能特性

  • - 协议审计：深度检查MCP握手和二进制流。
  • 延迟追踪器：测量LLM与其工具之间的往返时间。
  • 自动修复器：自动重启崩溃的MCP服务器（例如SQLite、Google搜索、自定义适配器）。

使用方法

bash npx openclaw skill run openclaw-mcp-debugger --all

架构师寄语

卓越的运维是成功AI代理的隐形基石。专为主权协议而构建。

标签

skill ai

通过对话安装

以下为平台配置的接入选项，并非逐项实测通过。能否安装取决于客户端支持、技能来源和运行环境：

OpenClaw WorkBuddy QClaw Kimi Claude

方式一：安装 SkillHub 和技能

帮我安装 SkillHub 和 openclaw-mcp-debugger-1776269642 技能

方式二：设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源，然后帮我安装 openclaw-mcp-debugger-1776269642 技能

通过命令行安装

skillhub install openclaw-mcp-debugger-1776269642

下载

⬇ 下载 openclaw-mcp-debugger v1.0.0（免费）

文件大小: 1.35 KB | 发布时间: 2026-4-16 15:57

v1.0.0 最新 2026-4-16 15:57
openclaw-mcp-debugger 1.0.0

- Initial release of a universal diagnostics toolkit for Model Context Protocol (MCP).
- Automatically detects and reports connection issues between agents and external tools.
- Provides deep-trace debugging, protocol handshake audits, and binary stream inspections.
- Tracks latency and round-trip time between LLMs and integrated adapters.
- Auto-fixes by restarting crashed MCP servers (e.g., SQLite, Google Search, custom adapters).

相关推荐

s

self-improvement

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

AI智能
s

self-improvement

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

AI智能
s

self-improvement

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

AI智能
s

self-improvement

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

AI智能
返回顶部