Excel MCP Server 🚀

Name: Excel MCP Server 🚀
Author: vijjeswarapusuryateja

@vijjeswarapusuryateja

代码仓库

关于 Excel MCP Server 🚀

暂无概览

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

vijjeswarapusuryateja

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

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 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)

FAQ from Excel MCP Server 🚀

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.

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.

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.