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mcp-excel-server

@bigcoder84

mcp-excel-server について

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.

基本情報

カテゴリ

その他

ランタイム

java

トランスポート

stdio

公開者

bigcoder84

投稿者

HearingSmile

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

FAQ from mcp-excel-server

What transport protocol does mcp-excel-server use?

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

What are the runtime requirements?

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

Which Excel file formats are supported?

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

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