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create-mcp-serverscreate MCP servers 搜索

Agent Skill

create-mcp-servers 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

2,023

周安装

86

GitHub Stars

1,935

下载量

709
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

3

许可证

MIT

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:create-mcp-servers(create MCP servers 搜索)
来源仓库:https://github.com/glittercowboy/taches-cc-resources
仓库路径:skills/create-mcp-servers
安装命令:
npx skills add https://github.com/glittercowboy/taches-cc-resources --skill create-mcp-servers
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/glittercowboy/taches-cc-resources --skill create-mcp-servers

简介

提供 MCP 服务器的标准化创建流程,遵循五大核心规则确保安全隔离与可复现性。

  • 适用于需要构建独立 MCP 服务的项目,自动处理依赖隔离、绝对路径和 uv 环境管理。
  • 包含安全清单,强调使用环境变量传递凭证,避免在聊天中直接粘贴密钥。
  • 安装前建议核实仓库维护状态,确认是否涉及外部网络调用或敏感配置读写。
  • create-mcp-servers 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

<essential_principles>

<the_5_rules> Every MCP server must follow these:

  1. Never Hardcode Secrets - Use ${VAR} expansion in configs, environment variables in code
  2. Use cwd Property - Isolates dependencies (not --cwd in args)
  3. Always Absolute Paths - which uv to find paths, never relative
  4. One Server Per Directory - ~/Developer/mcp/{server-name}/
  5. Use uv for Python - Better than pip, handles venvs automatically </the_5_rules>

<security_checklist>

  • Never ask user to paste secrets into chat
  • Always use environment variables for credentials
  • Use ${VAR} expansion in configs
  • Provide exact commands for user to run in terminal
  • Verify environment variable existence without showing values
  • Never hardcode API keys in code or configs </security_checklist>

<architecture_decision> Operation count determines architecture:

  • 1-2 operations → Traditional pattern (flat tools)
  • 3+ operations → On-demand discovery pattern (meta-tools)

Traditional: Each operation is a separate tool On-demand: 4 meta-tools (discover, get_schema, execute, continue) + operations.json </architecture_decision>

Standard location: ~/Developer/mcp/{server-name}/

</essential_principles>

No context provided (skill invoked without description): Use AskUserQuestion:

  • header: "Mode"
  • question: "What would you like to do?"
  • options:

- "Create a new MCP server" → workflows/create-new-server.md - "Update an existing MCP server" → workflows/update-existing-server.md - "Troubleshoot a server" → workflows/troubleshoot-server.md

Context provided (user described what they want): Route directly to workflows/create-new-server.md

<workflows_index>

WorkflowPurpose
create-new-server.mdFull 8-step workflow from intake to verification
update-existing-server.mdModify or extend an existing server
troubleshoot-server.mdDiagnose and fix connection/runtime issues
</workflows_index>

<templates_index>

TemplatePurpose
python-server.pyTraditional pattern starter for Python
typescript-server.tsTraditional pattern starter for TypeScript
operations.jsonOn-demand discovery operations definition
</templates_index>

<scripts_index>

ScriptPurpose
setup-python-project.shInitialize Python MCP project with uv
setup-typescript-project.shInitialize TypeScript MCP project with npm
</scripts_index>

<references_index> Core workflow:

  • creation-workflow.md - Complete step-by-step with exact commands

Architecture patterns:

  • traditional-pattern.md - For 1-2 operations (flat tools)
  • large-api-pattern.md - For 3+ operations (on-demand discovery)

Language-specific:

  • python-implementation.md - Async patterns, type hints
  • typescript-implementation.md - Type safety, SDK features

Advanced topics:

  • oauth-implementation.md - OAuth with stdio isolation
  • response-optimization.md - Field truncation, pagination
  • tools-and-resources.md - Resources API, prompts, streaming
  • testing-and-deployment.md - Unit tests, packaging, publishing
  • validation-checkpoints.md - All validation checks
  • adaptive-questioning-guide.md - Question templates for intake
  • api-research-template.md - API research document format </references_index>

<quick_reference>

# List servers
claude mcp list

# Add server (Python)
claude mcp add --transport stdio <name> \
  --env API_KEY='${API_KEY}' \
  -- uv --directory ~/Developer/mcp/<name> run python -m src.server

# Add server (TypeScript)
claude mcp add --transport stdio <name> \
  --env API_KEY='${API_KEY}' \
  -- node ~/Developer/mcp/<name>/build/index.js

# Remove server
claude mcp remove <name>

# Check logs
tail -f ~/Library/Logs/Claude/mcp-server-<name>.log

# Find paths
which uv && which node && which python

</quick_reference>

<troubleshooting_quick> Server not appearing: Check claude mcp list, verify config in ~/.claude/settings.json

"command not found": Use absolute paths from which uv / which node

Environment variable not found:

echo $MY_API_KEY  # Check if set
echo 'export MY_API_KEY="value"' >> ~/.zshrc && source ~/.zshrc

Secrets visible in conversation: STOP. Delete conversation. Rotate credentials. Never paste secrets in chat.

Full troubleshooting: workflows/troubleshoot-server.md </troubleshooting_quick>

<success_criteria> A production-ready MCP server has:

  • Valid configuration in Claude Code (claude mcp list shows ✓ Connected)
  • Valid configuration in Claude Desktop config
  • Environment variables set securely in ~/.zshrc
  • Architecture matches operation count
  • OAuth stdio isolation if applicable
  • Response optimization for list/search operations
  • All validation checkpoints passed
  • No errors in logs </success_criteria>

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Antigravity

30.6%
按下载量换算217

Claude Code

20.66%
按下载量换算146

OpenCode

18.03%
按下载量换算128

Gemini CLI

11.54%
按下载量换算82

Codex

7.67%
按下载量换算54

Cursor

3.66%
按下载量换算26

安全审计

Gen Agent Trust Hub

通过

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。

来源信息

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