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MCP Excel Server

@bigcoder84

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

bigcoder84

提交者

HearingSmile

关于 MCP Excel Server

mcp-excel-server is a project based on the Spring AI MCP framework. Its main function is to provide large language model (LLM) with the ability to read and write local Excel files with the help of MCP protocol.

MCP Excel Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "AUM5itYnoMcxPiU2vFa3Z": {
      "name": "Excel操作",
      "type": "stdio",
      "description": "",
      "isActive": true,
      "command": "java",
      "args": [
        "-Dspring.ai.mcp.server.stdio=true",
        "-Dspring.main.web-application-type=none",
        "-Dfile.encoding=UTF-8",
        "-jar",
        "{your_path}/mcp-excel-server-0.0.1-SNAPSHOT.jar"
      ]
    }
  }
}

MCP Excel Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is mcp-excel-server?

mcp-excel-server is a project based on the Spring AI MCP framework. It uses the MCP protocol to give large language models (LLMs) the ability to read from and write to local Excel files (.xlsx and .xls), returning content as JSON.

How to use mcp-excel-server?

Build the project with mvn clean package -Dmaven.test.skip=true, then configure the MCP server in your client’s JSON settings by specifying the Java command, the stdio transport flags, and the path to the generated JAR file.

Key features of mcp-excel-server

  • Reads local Excel files (.xlsx and .xls) and returns content as JSON.
  • Writes JSON data into a specified local Excel file.
  • Integrates with MCP‑compatible LLM clients (Claude, Cursor, Cherry Studio).

Use cases of mcp-excel-server

  • An AI assistant reads a sales report and answers questions about the data.
  • A language model writes analysis results directly into an existing Excel spreadsheet.
  • Dynamic data exchange between an LLM and a user’s local Excel files without manual export.

常见问题

1

What transport protocol does mcp-excel-server use?

It uses stdio transport, configured via command‑line arguments in the MCP client settings.

2

What are the runtime requirements?

Java 17 or higher is required. The project is built on the Spring AI MCP framework.

3

Which Excel file formats are supported?

Both .xlsx and .xls formats are supported for reading and writing.

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