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Agent Skill · 研究检索

troubleshoot-mcp-connection(troubleshoot MCP connection 搜索)

troubleshoot-mcp-connection 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。

troubleshoot-mcp-connection 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 60,488。

总安装 367周安装 15GitHub Stars 12下载 118核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:troubleshoot-mcp-connection(troubleshoot MCP connection 搜索)
来源仓库:https://github.com/pjt222/development-guides
仓库路径:skills/troubleshoot-mcp-connection
安装命令:
npx skills add https://github.com/pjt222/development-guides --skill troubleshoot-mcp-connection
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/pjt222/development-guides --skill troubleshoot-mcp-connection

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

Troubleshoot MCP connection 搜索技能用于查找、检索和筛选相关信息。适用于 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词或任务场景定位信息的任务。通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 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操作。该技能归类于研究检索类别,适合连接配置和技术问题排查场景。

来源仓库内路径:skills/troubleshoot-mcp-connection

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/pjt222/development-guides --skill troubleshoot…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

troubleshoot-mcp-connection 怎么安装?

在终端执行 npx skills add https://github.com/pjt222/development-guides --skill troubleshoot-mcp-conne…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

troubleshoot-mcp-connection 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

troubleshoot-mcp-connection 需要什么权限?

权限级别是接触敏感数据。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。

troubleshoot-mcp-connection 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

troubleshoot-mcp-connection 用的人多吗?

公开数据是累计安装 367 次,近一周安装 15 次,下载 118 次,GitHub 12 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

troubleshoot-mcp-connection 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
troubleshoot-mcp-connection

troubleshoot MCP connection 搜索 · 本页

36712接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Troubleshoot MCP Connection

Diagnose and resolve MCP server connection failures.

When to Use

  • Claude Code or Claude Desktop fails to connect to an MCP server
  • MCP tools don't appear in sessions
  • "Cannot attach the server" errors
  • Connection was working but stopped
  • Setting up MCP on a new machine

Inputs

  • Required: Error message or symptom description
  • Required: Which client (Claude Code, Claude Desktop, or both)
  • Required: Which MCP server (mcptools, Hugging Face, custom)
  • Optional: Recent changes to configuration or environment

Procedure

Step 1: Identify the Client and Configuration

Claude Code (WSL):

# View MCP configuration
claude mcp list
claude mcp get server-name

# Configuration stored in
cat ~/.claude.json | python3 -m json.tool

Claude Desktop (Windows):

# Configuration file location
cat "/mnt/c/Users/$USER/AppData/Roaming/Claude/claude_desktop_config.json"

Expected: Configuration file is located and readable, showing the MCP server entries with command, args, and env fields.

On failure: If the config file does not exist or is empty, the server was never configured. Follow the configure-mcp-server skill to set it up from scratch.

Step 2: Test Server Independently

R mcptools:

# Test if R can start the server
"/mnt/c/Program Files/R/R-4.5.0/bin/Rscript.exe" -e "mcptools::mcp_server()"

If this fails:

  • Check R path exists: ls "/mnt/c/Program Files/R/"
  • Check mcptools is installed: Rscript -e "library(mcptools)"
  • Check ellmer dependency: Rscript -e "library(ellmer)"

Hugging Face MCP:

# Test mcp-remote directly
mcp-remote https://huggingface.co/mcp

# Check if mcp-remote is installed
which mcp-remote
npm list -g mcp-remote

Expected: The server process starts and produces initialization output (JSON-RPC handshake or "listening" message) without errors.

On failure: If R mcptools fails, check that the R version path is correct and that mcptools is installed in the R library. If mcp-remote fails, reinstall globally with npm install -g mcp-remote and verify it is on the PATH.

Step 3: Diagnose Common Error Patterns

"Cannot attach the server" (Claude Desktop)

Root cause: Windows command argument parsing.

Fix: Use environment variables instead of --header arguments:

{
  "hf-mcp-server": {
    "command": "mcp-remote",
    "args": ["https://huggingface.co/mcp"],
    "env": { "HF_TOKEN": "your_token" }
  }
}

Also ensure mcp-remote is globally installed (npm install -g mcp-remote), not relying on npx.

"Connection refused"

  • Server isn't running or port is wrong
  • Firewall blocking the connection
  • Wrong transport type (stdio vs HTTP)

"Command not found"

  • Missing full path to executable
  • PATH not configured in the execution context
  • On Windows: use C:\\PROGRA~1\\... for paths with spaces

MCP tools don't appear but no error

  • Server starts but tools aren't registered
  • Check server stdout for initialization messages
  • Verify the server uses the correct MCP protocol version

Expected: Error pattern matched to one of the documented categories (cannot attach, connection refused, command not found, or silent failure).

On failure: If the error does not match any known pattern, capture the full error output and check server-side logs. Search for the exact error message in the MCP server's GitHub issues.

Step 4: Check Network and Authentication

# Test Hugging Face API connectivity
curl -I "https://huggingface.co/mcp"

# Verify token validity
curl -H "Authorization: Bearer $HF_TOKEN" https://huggingface.co/api/whoami

Expected: HTTP endpoint returns 200 status and the whoami call returns your Hugging Face username, confirming network connectivity and valid authentication.

On failure: If curl returns a connection error, check DNS resolution and proxy settings. If the token is rejected (401), regenerate the token at huggingface.co/settings/tokens and update the configuration.

Step 5: Verify JSON Configuration Syntax

# Validate JSON (common issue: trailing commas, missing quotes)
python3 -m json.tool /path/to/config.json

Expected: JSON parses without errors, confirming the configuration file has valid syntax.

On failure: The most common JSON issues are trailing commas after the last entry in an object or array, missing quotes around string values, and mismatched braces. Fix the syntax error reported by the parser and re-validate.

Step 6: Platform-Specific Debugging

Windows (Claude Desktop):

  • Argument parsing differs from Unix
  • Spaces in paths break command execution
  • Use 8.3 short paths: C:\PROGRA~1\R\R-45~1.0\bin\x64\Rscript.exe
  • Environment variables work more reliably than command-line headers

WSL (Claude Code):

  • Unix-style quoting works correctly
  • Can use full paths with spaces (quoted)
  • npm/npx via NVM: ensure NVM is loaded in the execution context

Expected: Platform-specific issue identified (e.g., Windows argument parsing, WSL path resolution, or NVM context loading).

On failure: If the issue is Windows-specific, switch from command-line arguments to environment variables for authentication. If WSL-specific, verify that the Windows executable path is accessible from WSL using the full /mnt/c/... path.

Step 7: Reset and Reconfigure

If all else fails:

# Remove and re-add the server (Claude Code)
claude mcp remove server-name
claude mcp add server-name stdio "/full/path/to/executable" -- args

# Restart Claude Desktop after config changes
# (close and reopen the application)

Expected: After removing and re-adding the server, claude mcp list shows the server with the correct configuration and a fresh connection attempt succeeds.

On failure: If re-adding fails, check that the executable path is correct and the command works when run directly in the terminal. For Claude Desktop, ensure the application is fully closed (check system tray) before restarting.

Step 8: Check Logs

Claude Code: Look for MCP errors in the terminal output when starting a session.

Claude Desktop: Check application logs (location varies by OS).

Server-side: Add logging to the MCP server to capture incoming requests and errors.

Expected: Log entries reveal the specific point of failure (server startup, handshake, authentication, or tool registration).

On failure: If no logs are available, add stderr capture to the server command (e.g., redirect to a log file) and reproduce the failure. For Claude Desktop, check %APPDATA%\Claude\logs\ for application-level logs.

Validation

  • Server starts independently without errors
  • Configuration JSON is valid
  • Client connects successfully
  • MCP tools appear in the session
  • Tools execute correctly when called
  • Connection persists across multiple requests

Common Pitfalls

  • Editing the wrong config file: Claude Code (~/.claude.json) vs Claude Desktop (%APPDATA%\Claude\claude_desktop_config.json)
  • Not restarting after config changes: Claude Desktop requires restart; Claude Code picks up changes on new session
  • npx in restricted environments: npx downloads packages at runtime. If network or permissions are restricted, install globally.
  • Token expiration: Hugging Face tokens can expire. Regenerate if auth failures appear suddenly.
  • Version mismatches: MCP protocol versions must be compatible between client and server

Related Skills

  • configure-mcp-server - initial MCP setup
  • build-custom-mcp-server - custom server debugging context
  • setup-wsl-dev-environment - WSL prerequisite setup

平台分布

Codex

34.16%
按下载量换算40

Claude

28.37%
按下载量换算33

Cursor

19.41%
按下载量换算23

Gemini CLI

8.83%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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