AI Skill Hub 推荐使用:excel MCP 工具 是一款优质的MCP工具。AI 综合评分 7.5 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
excel 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。
excel 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/sbroenne/mcp-server-excel
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"excel-mcp---": {
"command": "npx",
"args": ["-y", "mcp-server-excel"]
}
}
}
# 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 excel MCP 工具 执行以下任务... Claude: [自动调用 excel 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": {
"excel_mcp___": {
"command": "npx",
"args": ["-y", "mcp-server-excel"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
Automate Excel with AI — A Model Context Protocol (MCP) server for comprehensive Excel automation through conversational AI.
MCP Server for Excel enables AI assistants (GitHub Copilot, Claude, ChatGPT) to automate Excel through natural language commands. Automate Power Query, DAX measures, VBA macros, PivotTables, Charts, formatting, and data transformations (25 tools with 230 operations).
🛡️ 100% Safe - Uses Excel's Native COM API - Zero risk of file corruption. Unlike third-party libraries that manipulate .xlsx files directly, this project uses Excel's official API ensuring complete safety and compatibility.
💡 Interactive Development - See results instantly in Excel. Create a query, run it, inspect the output, refine and repeat. Excel becomes your AI-powered workspace for rapid development and testing.
🧪 LLM-Tested Quality - Tool behavior validated with real LLM workflows using pytest-skill-engineering. We test that LLMs correctly understand and use our tools.
Technical Requirements: - ⚠️ Windows Only - COM interop is Windows-specific - ⚠️ Excel Required - Microsoft Excel 2016 or later must be installed - ⚠️ Desktop Environment - Controls actual Excel process (not for server-side processing)
dotnet tool install --global Sbroenne.ExcelMcp.McpServer dotnet tool install --global Sbroenne.ExcelMcp.CLI
copilot plugin install excel-mcp@mcp-server-excel-plugins # For conversational AI copilot plugin install excel-cli@mcp-server-excel-plugins # For scripting / coding agents
- **`excel-mcp`** — MCP server for conversational workflows
- **`excel-cli`** — Skill for coding agents (install `excelcli` separately if you want the CLI tool)
**Note:** After each release, there may be a short delay before plugins appear in the marketplace. You may need to wait a few moments for updates to sync.
📖 [Full Installation Guide →](docs/INSTALLATION.md)
<details>
<summary>📊 Benchmark Results (same task, same model)</summary>
| Metric | CLI | MCP Server | Winner |
|--------|-----|------------|--------|
| **Tokens** | ~59K | ~163K | 🏆 CLI (64% fewer) |
**Key insight:** MCP sends 23 tool schemas to the LLM on each request (~100K+ tokens).
</details>
**Manual Installation:**powershell
npx add-mcp "mcp-excel" --name excel-mcp
> ⚠️ **Step 2 requires [Node.js](https://nodejs.org/)** for `npx`. Install with `winget install OpenJS.NodeJS.LTS` if needed.
powershell
npx skills add sbroenne/mcp-server-excel --skill excel-cli # Coding agents npx skills add sbroenne/mcp-server-excel --skill excel-mcp # Conversational AI ```
💡 Skills provide AI guidance - The CLI skill is highly recommended (agents don't work perfectly with CLI without it). The MCP skill is recommended - it adds workflow best practices and reduces token usage.
Create & Populate Data: - "Create a new Excel file called SalesTracker.xlsx with a table for Date, Product, Quantity, Unit Price, and Total with sample data" - "Put this data in A1:C4 - Name, Age, City / Alice, 30, Seattle / Bob, 25, Portland" - "Add a formula column that calculates Quantity times Unit Price"
Analysis & Visualization: - "Create a PivotTable from this data showing total sales by Product, then add a bar chart" - "Use Power Query to import products.csv, load it to the Data Model, and create a measure for Total Revenue" - "Create a slicer for the Region field so I can filter the PivotTable interactively" - "Create a relationship between the Orders and Products tables using ProductID"
Formatting & Styling: - "Format the Price column as currency and highlight values over $500 in green" - "Convert this range to an Excel Table with a blue style and add a totals row" - "Make the headers bold with a dark background and auto-fit column widths" - "Apply the same section-header styling to A1:G1, A12:G12, and A24:G24 in one step"
Formatting split: number display formats use the range tool, while visual styling and auto-fit use range_format.
Automation: - "Export all Power Query M code to files for version control" - "Run the UpdatePrices macro" - "Show me Excel while you work" - watch changes in real-time
🪟 Agent Mode — Watch AI Work in Excel: - "Show me Excel side-by-side while you build this dashboard" - real-time visibility - "Let me watch while you create the chart" - AI asks your preference, then shows Excel - Status bar shows live progress: "ExcelMcp: Building PivotTable from Sales data..."
| Platform | Installation |
|---|---|
| **VS Code** | [Install Extension](https://marketplace.visualstudio.com/items?itemName=sbroenne.excel-mcp) (one-click, recommended) |
| **Claude Desktop** | Download .mcpb from [latest release](https://github.com/sbroenne/mcp-server-excel/releases/latest) |
| **Any MCP Client** | Download mcp-excel.exe from [latest release](https://github.com/sbroenne/mcp-server-excel/releases/latest) and add to PATH |
| **Details** | 📖 [Installation Guide](docs/INSTALLATION.md) |
⚠️ Important: Close all Excel files before using. The server requires exclusive access to workbooks during automation.
ExcelMcp is available as two GitHub Copilot CLI plugins in the Copilot plugin marketplace:
```powershell
copilot plugin marketplace add sbroenne/mcp-server-excel-plugins
This package provides both CLI and MCP Server interfaces. Choose based on your use case:
| Interface | Best For | Why |
|---|---|---|
**CLI** (excelcli) | Coding agents (Copilot, Cursor, Windsurf) + Scripting | **64% fewer tokens** - single tool, no large schemas. Auto-generated from Core code, ensuring 1:1 feature parity. Bundled with excel-cli skill. |
| **MCP Server** | Conversational AI (Claude Desktop, VS Code Chat) | Rich tool discovery, persistent connection. Better for interactive, exploratory workflows. |
Installation: - CLI via Copilot plugin (Recommended for Copilot CLI): Install the excel-cli plugin for skill guidance, then install excelcli separately - CLI Standalone: Download ZIP from releases or install via NuGet - Skill only: Install the excel-cli skill separately when your agent already has excelcli available on PATH - MCP Server: Download from releases or install VS Code Extension
⚡ CLI Commands: Generated automatically from Core service definitions using Roslyn source generators. All 22 command categories maintain exact 1:1 parity with MCP tools through shared code generation. See code generation docs for details.
该项目提供了一个开源的MCP工具,用于Excel自动化,工具数量和操作数量较多,值得关注,但需要进一步完善和测试。
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。
✅ 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。
总体来看,excel MCP 工具 是一款质量良好的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | mcp-server-excel |
| 原始描述 | 开源MCP工具:Excel MCP Server & CLI - 23 tools, 214 operations for AI-powered Excel automatio。⭐154 · C# |
| Topics | mcpai-automationclaude-aicom-automationconditional-formattingdata-connectionsc# |
| GitHub | https://github.com/sbroenne/mcp-server-excel |
| License | MIT |
| 语言 | C# |
收录时间:2026-05-14 · 更新时间:2026-05-16 · License:MIT · 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