tuui MCP工具 是 AI Skill Hub 本期精选MCP工具之一。已获得 1.1k 颗 GitHub Star,综合评分 8.2 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。
tuui MCP工具 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。
tuui MCP工具 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。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/AI-QL/tuui
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"tuui-mcp--": {
"command": "npx",
"args": ["-y", "tuui"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 tuui MCP工具 执行以下任务... Claude: [自动调用 tuui MCP工具 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"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"tuui_mcp__": {
"command": "npx",
"args": ["-y", "tuui"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
This repository is essentially an LLM chat desktop application based on MCP. It also represents a bold experiment in creating a complete project using AI. Many components within the project have been directly converted or generated from the prototype project through AI.
Given the considerations regarding the quality and safety of AI-generated content, this project employs strict syntax checks and naming conventions. Therefore, for any further development, please ensure that you use the linting tools I've set up to check and automatically fix syntax issues.
| Status | Feature | Category | Note |
|---|---|---|---|
| ✅ | [Tools](https://modelcontextprotocol.io/specification/latest/server/tools) | Server | |
| ✅ | [Prompts](https://modelcontextprotocol.io/specification/latest/server/prompts) | Server | |
| ✅ | [Resources](https://modelcontextprotocol.io/specification/latest/server/resources) | Server | |
| 🔲 | [Roots](https://modelcontextprotocol.io/specification/latest/client/roots) | Client | This is generally only used for the Vibe Coding IDE and can typically be configured through server environment variables. |
| ✅ | [Sampling](https://modelcontextprotocol.io/specification/latest/server/sampling) | Client | |
| ✅ | [Elicitation](https://modelcontextprotocol.io/specification/latest/server/elicitation) | Client | |
| ✅ | [Discovery](https://github.com/modelcontextprotocol/registry) | Registry | Provides real-time MCP server discovery on the MCP registry |
| ✅ | [MCPB](https://github.com/modelcontextprotocol/mcpb) | Extension | MCP Bundles (.mcpb) is the new name for what was previously known as Desktop Extensions (.dxt) |
To use MCP-related features, ensure the following preconditions are met for your environment:
ChatGPT, Claude, Qwen or self-hosted) that supports tool/function calling.Node.js to execute JavaScript/TypeScript tools.Python and the UV library.DockerHub.- For macOS/Linux systems: Modify the default MCP configuration (e.g., adjust CLI paths or permissions). > Refer to the MCP Server Issue documentation for guidance
For guidance on configuring the LLM, refer to the template(i.e.: Qwen):
{
"name": "Qwen",
"apiKey": "",
"url": "https://dashscope.aliyuncs.com/compatible-mode",
"path": "/v1/chat/completions",
"model": "qwen-turbo",
"modelList": ["qwen-turbo", "qwen-plus", "qwen-max"],
"maxTokensValue": "",
"mcp": true
}
The configuration accepts either a JSON object (for a single chatbot) or a JSON array (for multiple chatbots):
[
{
"name": "Openrouter && Proxy",
"apiKey": "",
"url": "https://api3.aiql.com",
"urlList": ["https://api3.aiql.com", "https://openrouter.ai/api"],
"path": "/v1/chat/completions",
"model": "openai/gpt-4.1-mini",
"modelList": [
"openai/gpt-4.1-mini",
"openai/gpt-4.1",
"anthropic/claude-sonnet-4",
"google/gemini-2.5-pro-preview"
],
"maxTokensValue": "",
"mcp": true
},
{
"name": "DeepInfra",
"apiKey": "",
"url": "https://api.deepinfra.com",
"path": "/v1/openai/chat/completions",
"model": "Qwen/Qwen3-32B",
"modelList": [
"Qwen/Qwen3-32B",
"Qwen/Qwen3-235B-A22B",
"meta-llama/Meta-Llama-3.1-70B-Instruct"
],
"mcp": true
}
]
You can quickly get started with the project through a variety of options tailored to your role and needs:
explore the project, visit the wiki page: TUUI.comdownload and use the application directly, go to the releases page: Releasesdeveloper setup, refer to the installation guide: Getting Started (English) | 快速入门 (中文)ask the AI directly about the project, visit: TUUI@DeepWiki| Configuration | Description | Location | Note |
|---|---|---|---|
| LLM Endpoints | Default LLM Chatbots config | [llm.json](/src/main/assets/config/llm.json) | Full config types could be found in [llm.d.ts](/src/preload/llm.d.ts) |
| MCP Servers | Default MCP servers configs | [mcp.json](/src/main/assets/config/mcp.json) | For configuration syntax, see [MCP Servers](https://github.com/modelcontextprotocol/servers?tab=readme-ov-file#using-an-mcp-client) |
| Startup Screen | Default News on Startup Screen | [startup.json](/src/main/assets/config/startup.json) | |
| Popup Screen | Default Prompts on Startup Screen | [popup.json](/src/main/assets/config/popup.json) |
For the decomposable package, you can also modify the default configuration of the built release:
For example, src/main/assets/config/llm.json will be located in resources/assets/config/llm.json
Once you modify or import the configurations, it will be stored in your localStorage by default.
Alternatively, you can clear all configurations from the Tray Menu by selecting Clear Storage.

优质MCP客户端实现,提供可视化界面和工具集成,活跃维护,TypeScript规范开发,适合MCP生态探索者
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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。
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经综合评估,tuui MCP工具 在MCP工具赛道中表现稳健,质量优秀。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。
| 原始名称 | tuui |
| 原始描述 | 开源MCP工具:A desktop MCP client designed as a tool unitary utility integration, acceleratin。⭐1.1k · TypeScript |
| Topics | MCP协议桌面客户端代理工具AnthropicAI集成 |
| GitHub | https://github.com/AI-QL/tuui |
| License | Apache-2.0 |
| 语言 | TypeScript |
收录时间:2026-05-16 · 更新时间:2026-05-19 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端