能力标签
AI工具包
🔌
MCP工具

AI工具包

基于 TypeScript · 让 AI 助手直接操作你的系统与工具
英文名:toolkit-ai
⭐ 12 Stars 🍴 4 Forks 💻 TypeScript 📄 MIT 🏷 AI 7.5分
7.5AI 综合评分
ai-agentsai-toolkittypescript
✦ AI Skill Hub 推荐

AI工具包 是 AI Skill Hub 本期精选MCP工具之一。综合评分 7.5 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。

📚 深度解析

AI工具包 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 AI工具包,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。AI工具包 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 AI工具包 评为 AI 评分 7.5 分,属于同类工具中的优质选择。

📋 工具概览

AI工具包 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
⭐ 12
开发语言
TypeScript
支持平台
Windows / 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
7.5 分
工具类型
MCP工具
Forks
4

📖 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」。

AI工具包 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。

📌 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/barleviatias/toolkit-ai

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

# 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
  1. 确认已安装 Node.js(v18 或以上版本)
  2. 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
  3. 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
  4. 保存配置文件并重启 Claude 客户端
  5. 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 AI工具包 执行以下任务...
Claude: [自动调用 AI工具包 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": {
    "ai___": {
      "command": "npx",
      "args": ["-y", "toolkit-ai"],
      "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 76/100 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

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   ██║   ██║   ██║██║   ██║██║     █████╔╝ ██║   ██║
   ██║   ██║   ██║██║   ██║██║     ██╔═██╗ ██║   ██║
   ██║   ╚██████╔╝╚██████╔╝███████╗██║  ██╗██║   ██║
   ╚═╝    ╚═════╝  ╚═════╝ ╚══════╝╚═╝  ╚═╝╚═╝   ╚═╝

Features

  • One catalog, five tools — skills, agents, and MCP servers installed into Claude Code, Codex, Amp, GitHub Copilot, and Cursor from a single command
  • Source-driven — every resource comes from a GitHub or Bitbucket repo you control; no bundled content
  • Security scanner — blocks curl-to-shell, reverse shells, invisible Unicode injection, SSRF, path traversal, and more before install
  • Interactive TUI — React Ink browser, installer, and updater with search, filters, and multi-select
  • Content-hashed lockfiletoolkit check shows exactly what's outdated; toolkit update applies changes
  • Zero runtime dependencies — single bundled executable, runs on npx without a clone
  • TypeScript strict mode — 31 unit + integration tests, typechecked on Node 20 + 22

---

Check what's outdated and update everything

toolkit check toolkit update

2. Or install something in one command

npx toolkit-ai source add vercel-labs/agent-skills npx toolkit-ai skill brainstorming

3. Check what's installed and what needs updating

npx toolkit-ai list npx toolkit-ai check ```

---

Install

```bash

One-off use (never installs anything globally)

npx toolkit-ai ```

Install

toolkit skill <name> # Install a skill toolkit agent <name> # Install an agent toolkit mcp <name> # Register an MCP server toolkit bundle <name> # Install a bundle (all items at once) toolkit plugin <name> # Install a plugin (decomposed across every detected provider)

Add a source and install a skill from it

toolkit source add vercel-labs/agent-skills toolkit skill brainstorming

Install an entire bundle

toolkit bundle fullstack-starter

Scan before installing something you don't trust

toolkit scan skill suspicious-skill

Install in CI — fail the pipeline if the scanner finds anything risky

toolkit skill suspicious-skill --strict

Quick Start

```bash

Guidelines

- Use plural nouns for resource names (/users, not /user) - Return 201 for successful creation, 204 for deletion - Include pagination for list endpoints ```

Installs to detected targets: ~/.claude/skills/, ~/.copilot/skills/, ~/.agents/skills/ (Codex), ~/.config/amp/skills/

Settings

toolkit settings install-mode copy # Install skills/agents as file copies toolkit settings install-mode link # Install skills/agents as symlinks toolkit settings cache 24h # Refresh stale source cache after 24h toolkit settings cache 0 # Always check sources on launch/refresh toolkit settings concurrency 4 # Fetch up to 4 sources in parallel

Settings

The TUI includes a Settings tab for install mode, source cache duration, parallel source refreshes, detected providers, and the config/cache paths. The same values are stored in ~/.toolkit/config.json and used by headless CLI commands.

  • installMode: "link" (default) symlinks skills/agents to the source cache, so refreshes and local source edits propagate without reinstalling.
  • installMode: "copy" installs stable snapshots of skills/agents instead — useful when you want installed content frozen at install time, independent of source-cache refreshes.
  • cacheTTL controls how long source clones are considered fresh before the next launch or refresh fetches updates.
  • cacheTTL: 0 always checks remote sources.
  • sourceConcurrency controls how many source repos fetch in parallel.

Directories named node_modules, .git, dist, build, .next, and coverage are automatically skipped.

Use when creating or reviewing API endpoints.

API Design

CLI Commands

```bash

Plugins

Plugins are bundled packages of skills, agents, commands, and MCP servers, discovered as a first-class resource type and installed across every detected provider — Claude Code, Codex, GitHub Copilot, Cursor, VS Code, and Amp.

Discovery — manifest formats accepted:

- .claude-plugin/plugin.json — Claude Code's official plugin layout - .codex-plugin/plugin.json — Codex's native plugin layout - plugin.json at the plugin root — generic / cross-tool plugin packages - Plugins already installed by Claude Code's /plugin install — read from ~/.claude/plugins/installed_plugins.json and surfaced under the synthetic claude source. No source configuration needed; they appear automatically in toolkit list and the TUI catalog. Run toolkit plugin <name> on one to mirror it across every other detected provider, using native plugin installs where available and decomposed copies only for fallback providers. Toolkit never writes to Claude's plugin state — remove plugin only removes the toolkit-managed copies. - Plugins already installed by Codex — read from ~/.codex/config.toml [plugins."<name>@<marketplace>"] entries plus ~/.codex/plugins/cache/<marketplace>/<name>/<version>/, then surfaced under the synthetic codex source. Run toolkit plugin <name> to mirror it across the other detected providers. - Plugins already installed by GitHub Copilot CLI's copilot plugin install — discovered by walking ~/.copilot/installed-plugins/_direct/ (the per-plugin install root the Copilot CLI populates) and surfaced under the synthetic copilot source. Same flow as the Claude case: appear automatically in toolkit list, run toolkit plugin <name> to mirror it across every other detected provider. Toolkit never writes back to Copilot's installed- plugins tree — remove plugin only removes the toolkit-managed copies.

Manifest path overrides — for plugins that don't fit Claude's layout:

Most Claude plugins put skills directly under skills/<name>/SKILL.md and agents directly under agents/<name>.md. Cross-tool plugin packages (AMS, Radware bundles, anything with per-tool adapters) often nest these — e.g. skills/universal/foo/SKILL.md, skills/stack-specific/backend-java/foo/SKILL.md, agents/adapters/copilot/reviewer.agent.md.

The plugin.json manifest may declare explicit content roots so the toolkit walks the right places:

{
  "name": "radware-ams",
  "skills": [
    "skills/universal/",
    "skills/stack-specific/backend-java/",
    "skills/stack-specific/frontend-react/"
  ],
  "agents": "agents/adapters/copilot/",
  "commands": "commands/",
  "mcps": "mcps/"
}

Each field accepts a string or an array of strings, all relative to the plugin root. The toolkit walks each declared root recursively for SKILL.md / *.agent.md / *.md / *.prompt.md / *.mcp.json, then installs or mirrors across every detected provider exactly as it does for Claude-shaped plugins. When fields are absent, the conventional dirs (skills/, agents/, commands/, root .mcp.json) are scanned instead.

Install — what happens to each component:

Installing a plugin uses each provider's native plugin system when one is available, and decomposes only for providers that do not have a plugin registry:

  • Claude Code → ~/.claude/plugins/cache/toolkit-ai/<name>/<version>/
  • Codex → ~/.codex/plugins/cache/toolkit-ai/<name>/<version>/
  • GitHub Copilot CLI → ~/.copilot/installed-plugins/toolkit-ai/<name>/
  • Cursor / VS Code / Amp → decomposed skills, agents, commands, and MCP config in the native per-user locations those tools already read
  • commands/<name>.md → transformed *.prompt.md for VS Code / Insiders
  • .mcp.json → registered as MCP servers in every detected MCP-aware config (.claude/settings.json, .cursor/mcp.json, .vscode/mcp.json, .codex/config.toml, .config/amp/settings.json, etc.)

The result is that the same plugin works in every assistant the user has installed, in each one's own native shape — no provider-specific plugin machinery required on the consumer side. Native plugin installs deliberately do not also copy the same skills/agents into Claude/Copilot/Codex user dirs, because that duplicates agents in provider UIs.

For Codex native plugin installs, command files are copied into the plugin's commands/ directory with only Codex-safe frontmatter (description and argument-hint). Claude-only metadata such as name, phase, persona, or model is stripped from the Codex copy so slash commands can be discovered.

Native Copilot plugin registration: when GitHub Copilot CLI is detected, plugin install also writes a real entry to Copilot's plugin manager — copies the plugin tree to ~/.copilot/installed-plugins/toolkit-ai/<name>/, adds to ~/.copilot/config.json installedPlugins[], enables it in ~/.copilot/settings.json. This makes the plugin show up in Copilot's "Plugins" UI panel, not just as decomposed skills/agents on disk. toolkit remove plugin mirrors this — drops the registry entry, disables in settings, removes the cache dir.

Native Codex plugin registration: when Codex is detected, plugin install also writes a real Codex plugin install — copies the scoped plugin tree to ~/.codex/plugins/cache/toolkit-ai/<name>/<version>/, registers a local toolkit-ai marketplace in ~/.codex/config.toml, and enables [plugins."<name>@toolkit-ai"]. Codex then loads the plugin from its own plugin system instead of only seeing decomposed standalone skills/agents. toolkit remove plugin removes the config entry and cache tree.

Hooks (hooks/hooks.json). Toolkit refuses to merge a plugin's hooks into the user's ~/.claude/settings.json (those commands run on every tool call across every repo and the security scanner doesn't cover them yet), but a plugin-tree hooks file is a different story: each tool's plugin manager loads hooks/hooks.json from inside the plugin's own install dir and scopes the hooks to that plugin's lifecycle. The toolkit copies the hooks/ directory verbatim along with the rest of the plugin tree, so any hooks/hooks.json the plugin ships rides along to Claude / Copilot / Codex plugin installs.

Per-tool hooks.json swap. Claude, Copilot, and Codex disagree on hook schema — Claude uses PascalCase events and ${CLAUDE_PLUGIN_ROOT}, Copilot uses camelCase events with no documented plugin-root env var, Codex's hook spec is not public. A plugin can ship multiple hook configs and let the installer pick the right one per tool. The canonical hooks/hooks.json is treated as the Claude flavor; if the plugin also ships hooks/configs/copilot.hooks.json or hooks/configs/codex.hooks.json, the installer for that tool reads the matching template, substitutes the literal string __AMS_PLUGIN_ROOT__ with the install destination directory, and writes the result over hooks/hooks.json inside that tool's install. Claude's install is never swapped — it keeps the canonical file. During the substitution, toolkit normalizes backslashes to forward slashes so Git Bash on Windows receives paths it can execute safely.

plugin/
├─ hooks/
│  ├─ hooks.json                    ← canonical (Claude flavor)
│  └─ configs/
│     ├─ copilot.hooks.json         ← swapped in for Copilot install
│     └─ codex.hooks.json           ← swapped in for Codex install

This sidesteps the missing plugin-root env var problem on Copilot and Codex: since the templates carry absolute paths after substitution, the hook commands resolve correctly without any runtime variable expansion.

🇨🇳 中文文档镜像 AI 翻译 2026-06-07
英文原文章节由系统翻译为中文摘要,便于快速理解。完整原文见上方 "📑 README 深度解析"。
📌 简介

本项目是一个工具集,旨在简化技能、代理和MCP服务器的安装和管理。它支持从单个命令安装到Claude Code、Codex、GitHub Copilot、Cursor等多个平台。

⚡ 功能介绍

toolkit-ai的主要特点包括:一键式安装技能、代理和MCP服务器;源代码驱动,所有资源来自您控制的GitHub或Bitbucket仓库;安全扫描器,阻止curl-to-shell、反向shell、不可见的Unicode注入等攻击。

🛠 安装步骤(Docker/pip/源码)

安装toolkit-ai有多种方式,包括使用npm、Docker和源码安装。您可以使用以下命令安装toolkit-ai:npx toolkit-ai source add vercel-labs/agent-skills npx toolkit-ai skill brainstorming

🚀 使用教程

toolkit-ai的使用方法包括使用命令行界面(CLI)和图形用户界面(TUI)。您可以使用以下命令检查安装情况和更新工具:npx toolkit-ai list npx toolkit-ai check

⚙️ 配置说明(含 MCP / env)

toolkit-ai的配置包括安装模式、源代码缓存时间、并发源代码刷新和检测到的提供商等。您可以使用以下命令配置toolkit-ai:toolkit settings install-mode copy toolkit settings cache 24h

🔌 API 说明

toolkit-ai的API设计包括使用API端点创建和查看API端点。您可以使用以下命令创建API端点:toolkit api create

🔄 工作流/模块

toolkit-ai的工作流包括插件和命令。插件是技能、代理、命令和MCP服务器的捆绑包,发现为首类资源类型,安装到每个检测到的提供商中。您可以使用以下命令安装插件:npx toolkit-ai plugin install

🎯 aiskill88 AI 点评 A 级 2026-06-06

高质量的AI工具包,值得使用

📚 实用指南(长尾问题)
适合谁
  • 使用 Cursor 编辑器、希望提升 AI 编程效率的开发者
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
  • Cursor rules 控制在 80 行内,否则模型上下文成本会显著上升
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
部署方案
  • CLI:直接 npm install -g / pip install,命令行调用
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
toolkit-ai 中文教程toolkit-ai 安装报错怎么办toolkit-ai MCP 配置toolkit-ai Agent 工作流toolkit-ai 与同类工具对比toolkit-ai 最佳实践toolkit-ai 适合谁用

⚡ 核心功能

👥 适合谁
  • 使用 Cursor 编辑器、希望提升 AI 编程效率的开发者
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
⭐ 最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
  • Cursor rules 控制在 80 行内,否则模型上下文成本会显著上升
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效

👥 适合人群

Claude Desktop / Claude Code 用户AI 工具开发者需要扩展 AI 能力的专业人士自动化工程师

🎯 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

⚖️ 优点与不足

✅ 优点
  • +MIT 协议,可免费商用
  • +标准化 MCP 协议,生态互联性强
  • +与 Claude 官方生态无缝对接
  • +即插即用,配置简单快捷
⚠️ 不足
  • 依赖 Claude 客户端,非 Claude 用户无法使用
  • MCP 协议仍在持续演进,接口可能变更
  • 需要一定的配置步骤
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。

🔗 相关工具推荐

📰 相关 AI 新闻
🍿 AI 圈相关吃瓜
🗺️ 相关解决方案
🧩 你可能还需要
基于当前 Skill 的能力图谱,自动补全的工具组合

❓ 常见问题 FAQ

toolkit-ai 是一款TypeScript开发的AI辅助工具。开源MCP工具:Package manager for AI coding assistants — manage skills, agents & MCPs across C。⭐12 · TypeScript 主要应用场景包括:AI编码助手管理。
💡 AI Skill Hub 点评

经综合评估,AI工具包 在MCP工具赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ MIT 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

📚 深入学习 AI工具包
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 toolkit-ai
原始描述 开源MCP工具:Package manager for AI coding assistants — manage skills, agents & MCPs across C。⭐12 · TypeScript
Topics ai-agentsai-toolkittypescript
GitHub https://github.com/barleviatias/toolkit-ai
License MIT
语言 TypeScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/barleviatias/toolkit-ai 🌐 官方网站  https://www.npmjs.com/package/toolkit-ai

收录时间:2026-06-06 · 更新时间:2026-06-06 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。