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Excel MCP Server

@vijjeswarapusuryateja

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

vijjeswarapusuryateja

Excel MCP Server について

概要はまだありません

Excel MCP Server の設定

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": {
    "excel_mcp_server": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Excel MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 Excel MCP Server 🚀?

Excel MCP Server 🚀 is a lightweight Model Context Protocol (MCP) server for Excel automation, powered by OpenAI’s ChatGPT (GPT‑4o). It lets you create, edit, and automate Excel files through natural language prompts, with GPT translating your intent into structured tool calls.

How to use Excel MCP Server 🚀?

Run the backend (python excel_mcp_server.py) and the Streamlit frontend (streamlit run frontend.py) after cloning the repository, creating a virtual environment, and installing dependencies from requirements.txt. No complex SDKs are required.

Key features of Excel MCP Server 🚀

  • Lightweight FastAPI backend exposing Excel operations as MCP tools
  • Natural language prompt handling with GPT‑4o orchestration
  • Multi‑tool call execution (e.g., create sheets + write cells)
  • Minimal setup — no complex SDKs required
  • Streamlit frontend for easy interaction

Use cases of Excel MCP Server 🚀

  • Automatically create new Excel sheets and populate them with data via chat
  • Edit existing Excel files by describing changes in natural language
  • Automate multi‑step Excel workflows (e.g., add a sheet, then write formulas)

よくある質問

1

What is the Model Context Protocol (MCP)?

MCP is a protocol that allows AI models like GPT‑4o to interact with external tools and data sources. This server implements an MCP interface specifically for Excel automation.

2

What are the runtime dependencies?

Python 3, a virtual environment, and the packages listed in `requirements.txt` (FastAPI, Streamlit, openpyxl, etc.). The project is designed to run locally after `pip install -r requirements.txt`.

3

Does the server support file uploads or downloads?

Currently, the server can create and edit Excel files, but uploading/downloading files through the API is not yet supported — it is listed as a future improvement.

4

Can I style cells (bold, colors)?

No. Style formatting (bold, colors) is not implemented yet; it is mentioned as a planned future enhancement.

5

What license is the project under?

The project is licensed under the MIT License.

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