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mcp-health-checkerMCP health checker 搜索

Agent Skill

mcp-health-checker 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

324

周安装

13

GitHub Stars

58

下载量

105
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mcp-health-checker(MCP health checker 搜索)
来源仓库:https://github.com/archieindian/openclaw-superpowers
仓库路径:skills/mcp-health-checker
安装命令:
npx skills add https://github.com/archieindian/openclaw-superpowers --skill mcp-health-checker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/archieindian/openclaw-superpowers --skill mcp-health-checker

简介

mcp-health-checker 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于需要根据关键词或任务场景从来源线索中筛选信息的场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • 建议结合原始 README 和仓库内容进一步核验具体用法。

SKILL.md

MCP Health Checker

What it does

MCP (Model Context Protocol) servers are how OpenClaw connects to external tools — but connections go stale silently. A crashed MCP server doesn't throw an error until the agent tries to use it, causing confusing mid-task failures.

MCP Health Checker proactively monitors all configured MCP connections. It pings servers, measures latency, tracks uptime history, and alerts you before a stale connection causes a problem.

Inspired by OpenLobster's MCP connection health monitoring and OAuth 2.1+PKCE token refresh tracking.

When to invoke

  • Automatically every 6 hours (cron) — silent background health check
  • Manually before starting a task that depends on MCP tools
  • When an MCP tool call fails unexpectedly — diagnose the connection
  • After restarting MCP servers — verify all connections restored

Health checks performed

CheckWhat it testsSeverity on failure
REACHABLEServer responds to connection probeCRITICAL
LATENCYResponse time under threshold (default: 5s)HIGH
STALEConnection age exceeds max (default: 24h)HIGH
TOOL_COUNTServer exposes expected number of toolsMEDIUM
CONFIG_VALIDMCP config entry has required fieldsMEDIUM
AUTH_EXPIRYOAuth/API token approaching expirationHIGH

How to use

python3 check.py --ping                     # Ping all configured MCP servers
python3 check.py --ping --server <name>     # Ping a specific server
python3 check.py --ping --timeout 3         # Custom timeout in seconds
python3 check.py --status                   # Last check summary from state
python3 check.py --history                  # Show past check results
python3 check.py --config                   # Validate MCP config entries
python3 check.py --format json              # Machine-readable output

Cron wakeup behaviour

Every 6 hours:

  1. Read MCP server configuration from ~/.openclaw/config/ (YAML/JSON)
  2. For each configured server:

- Attempt connection probe (TCP or HTTP depending on transport) - Measure response latency - Check connection age against staleness threshold - Verify tool listing matches expected count (if tracked) - Check auth token expiry (if applicable)

  1. Update state with per-server health records
  2. Print summary: healthy / degraded / unreachable counts
  3. Exit 1 if any CRITICAL findings

Procedure

Step 1 — Run a health check

python3 check.py --ping

Review the output. Healthy servers show a green check. Degraded servers show latency warnings. Unreachable servers show a critical alert.

Step 2 — Diagnose a specific server

python3 check.py --ping --server filesystem

Detailed output for a single server: latency, last seen, tool count, auth status.

Step 3 — Validate configuration

python3 check.py --config

Checks that all MCP config entries have the required fields (command, args or url depending on transport type).

Step 4 — Review history

python3 check.py --history

Shows uptime trends over the last 20 checks. Spot servers that are intermittently failing.

State

Per-server health records and check history stored in ~/.openclaw/skill-state/mcp-health-checker/state.yaml.

Fields: last_check_at, servers list, check_history.

Notes

  • Does not modify MCP configuration — read-only monitoring
  • Connection probes use the same transport as the MCP server (stdio subprocess spawn or HTTP GET)
  • For stdio servers: probes verify the process can start and respond to initialize
  • For HTTP/SSE servers: probes send a health-check HTTP request
  • Latency threshold configurable via --timeout (default: 5s)
  • Staleness threshold configurable via --max-age (default: 24h)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.08%
按下载量换算35

Claude

30.21%
按下载量换算32

Cursor

21.13%
按下载量换算22

Gemini CLI

8.94%
按下载量换算9

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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