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Excel MCP Server

@vijjeswarapusuryateja

Repository

Basic information

Category

Other

Transports

stdio

Author

vijjeswarapusuryateja

About Excel MCP Server

No overview available yet

Excel MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Excel MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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)

Frequently asked questions

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.

Comments

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