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🔌

MCP工具

我的代码库

基于 Shell · 让 AI 助手直接操作你的系统与工具

英文名：my-codex

⭐ 17 Stars 🍴 2 Forks 💻 Shell 📄 MIT 🏷 AI 8.0分

8.0AI 综合评分

agent-harnessai-agentscodex

⬇ 下载源码 ZIP ⚙️ 配置说明 📺 TG 频道

✦ AI Skill Hub 推荐

我的代码库是 AI Skill Hub 本期精选MCP工具之一。综合评分 8.0 分，整体质量较高。我们强烈推荐将其纳入你的 AI 工具库，帮助提升工作效率。

📚 深度解析

我的代码库是一款基于 MCP（Model Context Protocol）标准协议的 AI 工具扩展。MCP 协议由 Anthropic 开发并开源，旨在建立 AI 模型与外部工具之间的标准化通信接口，目前已被 Claude Desktop、Claude Code、Cursor 等主流 AI 工具采纳。

通过安装我的代码库，你的 AI 助手将获得额外的工具调用能力，可以用自然语言直接操控该工具的功能，无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置，永久增强"——配置完成后，每次与 AI 对话时都可以无缝调用这些工具。

在技术实现上，MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信，工具的功能以"工具列表"的形式暴露给 AI 模型，AI 可以按需调用。我的代码库提供了结构化的工具调用接口，使 AI 模型能够精确地理解和使用每个功能点，显著降低 AI 在工具使用上的错误率。

与传统的 API 集成相比，MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON，即可让 AI 获得全新能力。AI Skill Hub 将我的代码库评为 AI 评分 8.0 分，属于同类工具中的优质选择。

📋 工具概览

我的代码库是一款遵循 MCP（Model Context Protocol）标准协议的 AI 工具扩展。通过 MCP 协议，它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务，实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用，都可以通过自然语言在 AI 对话中直接触发，极大提升生产效率。

GitHub Stars

⭐ 17

开发语言

Shell

支持平台

macOS / Linux

维护状态

轻量级项目，按需更新

开源协议

MIT

AI 综合评分

8.0 分

工具类型

MCP工具

Forks

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理，如需查看完整原始文档请访问底部「原始来源」。

📌 核心特色

通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
提供结构化工具调用接口，显著降低 AI 集成复杂度
支持 Claude Desktop 和 Claude Code 无缝接入，开箱即用
可与其他 MCP 工具组合叠加，构建完整 AI 工作站
轻量无侵入设计，不影响现有系统架构

🎯 主要使用场景

在 Claude Desktop 对话中直接调用本地工具，实现 AI 与系统的深度联动
通过自然语言驱动复杂的多步骤自动化任务，代替繁琐手动操作
将多个 MCP 工具组合使用，构建个人专属 AI 工作站

以下安装命令基于项目开发语言和类型自动生成，实际以官方 README 为准。

安装命令

# 方式一：通过 Claude Code CLI 一键安装
claude skill install https://github.com/sehoon787/my-codex

# 方式二：手动配置 claude_desktop_config.json
{
  "mcpServers": {
    "-----": {
      "command": "npx",
      "args": ["-y", "my-codex"]
    }
  }
}

# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json

📋 安装步骤说明

确认已安装 Node.js（v18 或以上版本）
打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
保存配置文件并重启 Claude 客户端
重启后，在对话中即可使用本工具

以下用法示例由 AI Skill Hub 整理，涵盖最常见的使用场景。

常用命令 / 代码示例

# 安装后在 Claude 对话中直接使用
# 示例：
用户: 请帮我用 我的代码库 执行以下任务...
Claude: [自动调用 我的代码库 MCP 工具处理请求]

# 查看可用工具列表
# 在 Claude 中输入："列出所有可用的 MCP 工具"

以下配置示例基于典型使用场景生成，具体参数请参照官方文档调整。

配置示例

// claude_desktop_config.json 配置示例
{
  "mcpServers": {
    "_____": {
      "command": "npx",
      "args": ["-y", "my-codex"],
      "env": {
        // "API_KEY": "your-api-key-here"
      }
    }
  }
}

// 保存后重启 Claude Desktop 生效

📑 README 深度解析真实文档完整度 60/100 查看 GitHub 原文 →

以下内容由系统直接从 GitHub README 解析整理，保留代码块、表格与列表结构。

简介

English | 한국어 | 日本語 | 中文 | Deutsch | Français

Looking for Claude Code? → my-claude — same Boss orchestration in native Claude .md agent format

---

What's Inside

Category	Count	Source
Core agents (always loaded)	98	Boss 1 + OMO 9 + OMX 33 + Awesome Core 54 + Superpowers 1
Agent packs (on-demand)	220+	20 domain categories from agency-agents + awesome-codex-subagents
Skills	200+	ECC 180+ · gstack 40 · OMX 36 · Superpowers 14 · Core 2
MCP Servers	3	Context7, Exa, grep.app
config.toml	1	my-codex
AGENTS.md	1	my-codex

<details> <summary>Core Agent — Boss meta-orchestrator (1)</summary>

Agent	Model	Role	Source
Boss	o3 high	Dynamic runtime discovery → capability matching → optimal routing. Never writes code.	my-codex

</details>

<details> <summary>OMO Agents — Sub-orchestrators and specialists (9)</summary>

Agent	Model	Role	Source
Sisyphus	o3 high	Intent classification → specialist delegation → verification	[oh-my-openagent](https://github.com/code-yeongyu/oh-my-openagent)
Hephaestus	o3 high	Autonomous explore → plan → execute → verify	oh-my-openagent
Atlas	o3 high	Task decomposition + 4-stage QA verification	oh-my-openagent
Oracle	o3 high	Strategic technical consulting (read-only)	oh-my-openagent
Metis	o3 high	Intent analysis, ambiguity detection	oh-my-openagent
Momus	o3 high	Plan feasibility review	oh-my-openagent
Prometheus	o3 high	Interview-based detailed planning	oh-my-openagent
Librarian	o3 medium	Open-source documentation search via MCP	oh-my-openagent
Multimodal-Looker	o3 medium	Image/screenshot/diagram analysis	oh-my-openagent

</details>

<details> <summary>OMC Agents — Specialist workers (19)</summary>

Agent	Role	Source
analyst	Pre-analysis before planning	[oh-my-claudecode](https://github.com/Yeachan-Heo/oh-my-claudecode)
architect	System design and architecture	oh-my-claudecode
code-reviewer	Focused code review	oh-my-claudecode
code-simplifier	Code simplification and cleanup	oh-my-claudecode
critic	Critical analysis, alternative proposals	oh-my-claudecode
debugger	Focused debugging	oh-my-claudecode
designer	UI/UX design guidance	oh-my-claudecode
document-specialist	Documentation writing	oh-my-claudecode
executor	Task execution	oh-my-claudecode
explore	Codebase exploration	oh-my-claudecode
git-master	Git workflow management	oh-my-claudecode
planner	Rapid planning	oh-my-claudecode
qa-tester	Quality assurance testing	oh-my-claudecode
scientist	Research and experimentation	oh-my-claudecode
security-reviewer	Security review	oh-my-claudecode
test-engineer	Test writing and maintenance	oh-my-claudecode
tracer	Execution tracing and analysis	oh-my-claudecode
verifier	Final verification	oh-my-claudecode
writer	Content and documentation	oh-my-claudecode

</details>

<details> <summary>Awesome Core Agents (54) — From awesome-codex-subagents</summary>

4 categories installed to ~/.codex/agents/:

01-core-development (12) accessibility-tester, ad-security-reviewer, agent-installer, api-designer, code-documenter, code-reviewer, dependency-manager, full-stack-developer, monorepo-specialist, performance-optimizer, refactoring-specialist, tech-debt-analyzer

03-infrastructure (16) azure-infra-engineer, cloud-architect, container-orchestrator, database-architect, disaster-recovery-planner, edge-computing-specialist, infrastructure-as-code, kubernetes-operator, load-balancer-specialist, message-queue-designer, microservices-architect, monitoring-specialist, network-engineer, serverless-architect, service-mesh-designer, storage-architect

04-quality-security (16) api-security-tester, chaos-engineer, compliance-auditor, contract-tester, data-privacy-officer, e2e-test-architect, incident-responder, load-tester, mutation-tester, penetration-tester, regression-tester, security-scanner, soc-analyst, static-analyzer, threat-modeler, vulnerability-assessor

09-meta-orchestration (10) agent-organizer, capability-assessor, conflict-resolver, context-manager, execution-planner, multi-agent-coordinator, priority-manager, resource-allocator, task-decomposer, workflow-orchestrator

</details>

<details> <summary>Superpowers Agent (1) — From obra/superpowers</summary>

Agent	Role	Source
superpowers-code-reviewer	Comprehensive code review with brainstorming and TDD verification	[superpowers](https://github.com/obra/superpowers)

</details>

<details> <summary>Agent Packs — On-demand domain specialists (21 categories)</summary>

Installed to ~/.codex/agent-packs/. Managed via:

```bash

Installation

Switch profiles at install time

bash /tmp/my-codex/install.sh --profile minimal bash /tmp/my-codex/install.sh --profile full ```

Pack	Count	Examples
engineering	32	Backend, Frontend, Mobile, DevOps, AI, Data
marketing	27	Douyin, Xiaohongshu, WeChat OA, TikTok, SEO
language-specialists	27	Python, Go, Rust, Swift, Kotlin, Java
specialized	31	Legal, Finance, Healthcare, Workflow
game-development	20	Unity, Unreal, Godot, Roblox, Blender
infrastructure	19	Cloud, K8s, Terraform, Docker, SRE
developer-experience	13	MCP Builder, LSP, Terminal, Rapid Prototyper
data-ai	13	Data Engineer, ML, Database, ClickHouse
specialized-domains	12	Supply Chain, Logistics, E-Commerce
design	11	Brand, UI, UX, Visual Storytelling
business-product	11	Product Manager, Growth, Analytics
testing	11	API, Accessibility, Performance, E2E, QA
sales	8	Deal strategy, pipeline, outbound
paid-media	7	Google Ads, Meta Ads, Programmatic
research-analysis	7	Trend, Market, Competitive Analysis
project-management	6	Agile, Jira, workflows
spatial-computing	6	XR, WebXR, AR/VR, visionOS
support	6	Customer support, developer advocacy
academic	5	Study abroad, corporate training
product	5	Product management, UX research
security	5	Penetration testing, compliance, audit

</details>

<details> <summary>Skills — 200+ from 5 sources</summary>

Source	Count	Key Skills
[everything-claude-code](https://github.com/affaan-m/everything-claude-code)	180+	tdd-workflow, autopilot, security-review, coding-standards
[oh-my-codex](https://github.com/Yeachan-Heo/oh-my-codex)	36	plan, team, trace, deep-dive, blueprint, ultrawork
[gstack](https://github.com/garrytan/gstack)	40	/qa, /review, /ship, /cso, /investigate, /office-hours
[superpowers](https://github.com/obra/superpowers)	14	brainstorming, systematic-debugging, TDD, parallel-agents
[my-codex Core](https://github.com/sehoon787/my-codex)	2	boss-advanced, boss-briefing

</details>

<details> <summary>MCP Servers (3)</summary>

Server	Purpose	Cost
<img src="https://context7.com/favicon.ico" width="16" height="16" align="center"/> [Context7](https://mcp.context7.com)	Real-time library documentation	Free
<img src="https://exa.ai/images/favicon-32x32.png" width="16" height="16" align="center"/> [Exa](https://mcp.exa.ai)	Semantic web search	Free 1k req/month
<img src="https://www.google.com/s2/favicons?domain=grep.app&sz=32" width="16" height="16" align="center"/> [grep.app](https://mcp.grep.app)	GitHub code search	Free

</details>

---

Installation Options

Quick Install

git clone --depth 1 https://github.com/sehoon787/my-codex.git /tmp/my-codex
bash /tmp/my-codex/install.sh
rm -rf /tmp/my-codex

Re-running the same command refreshes to the latest main build, replaces only my-codex-managed files in ~/.codex/, and removes stale skill copies from ~/.agents/skills/.

config.toml

Global Codex settings in ~/.codex/config.toml:

[agents]
max_threads = 8
max_depth = 1

max_threads — Maximum concurrent sub-agents
max_depth — Maximum nesting depth for agent-spawns-agent chains

---

3-Phase Sprint Workflow

For end-to-end feature implementation, Boss orchestrates a structured sprint:

Phase 1: DESIGN         Phase 2: EXECUTE        Phase 3: REVIEW
(interactive)            (autonomous)             (interactive)
─────────────────────   ─────────────────────   ─────────────────────
User decides scope      executor runs tasks     Compare vs design doc
Engineering review      Auto code review        Present comparison table
Confirm "design done"   Architect verification  User: approve / improve

---

FAQ

<details> <summary>How is my-codex different from my-claude?</summary>

my-codex and my-claude share the same Boss orchestration architecture and upstream skill sources. The key difference is the runtime: my-codex targets OpenAI Codex CLI with native .toml agent format and spawn_agent delegation, while my-claude targets Claude Code with .md agent format and the Agent tool.

</details>

<details> <summary>Can I use both my-codex and my-claude?</summary>

Yes. They install to separate directories (~/.codex/ and ~/.claude/) and do not conflict. Skills from shared upstream sources are adapted for each platform.

</details>

<details> <summary>How do agent packs work?</summary>

Agent packs are domain-specific agent collections installed to ~/.codex/agent-packs/. On first install, a dev profile is auto-activated. Use my-codex-packs enable <pack> to activate additional packs, or reinstall with --profile full to enable all 21 categories.

</details>

<details> <summary>How does upstream sync work?</summary>

A GitHub Actions workflow runs every Monday, pulling the latest commits from all upstream submodules and creating an auto-merge PR. You can also trigger it manually from the Actions tab.

</details>

<details> <summary>What models does my-codex use?</summary>

Boss and sub-orchestrators (Sisyphus, Atlas, Oracle) use o3 with high reasoning effort. Standard workers use o3 with medium reasoning. Lightweight advisory agents use o4-mini.

</details>

---