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Works With
About
](https://pypi.org/project/excel-mcp-server/) [ ](https://opensource.org/licenses/MIT) [ [](https://cursor.com/install-mcp?name=excel-mcp-server&config=eyJjb21tYW5kIjoidXZ4IGV4Y2VsLW1jcC1zZXJ2ZXIgc3RkaW8ifQ%3D%3D)
A Model Context Protocol (MCP) server that lets you manipulate Excel files without needing Microsoft Excel installed. Create, read, and modify Excel workbooks with your AI agent.
Features
- 📊 Excel Operations: Create, read, update workbooks and worksheets
- 📈 Data Manipulation: Formulas, formatting, charts, pivot tables, and Excel tables
- 🔍 Data Validation: Built-in validation for ranges, formulas, and data integrity
- 🎨 Formatting: Font styling, colors, borders, alignment, and conditional formatting
- 📋 Table Operations: Create and manage Excel tables with custom styling
- 📊 Chart Creation: Generate various chart types (line, bar, pie, scatter, etc.)
- 🔄 Pivot Tables: Create dynamic pivot tables for data analysis
- 🔧 Sheet Management: Copy, rename, delete worksheets with ease
- 🔌 Triple transport support: stdio, SSE (deprecated), and streamable HTTP
- 🌐 Remote & Local: Works both locally and as a remote service
Usage
The server supports three transport methods:
1. Stdio Transport (for local use)
uvx excel-mcp-server stdio{
"mcpServers": {
"excel": {
"command": "uvx",
"args": ["excel-mcp-server", "stdio"]
}
}
}2. SSE Transport (Server-Sent Events - Deprecated)
uvx excel-mcp-server sseSSE transport connection:
{
"mcpServers": {
"excel": {
"url": "http://localhost:8000/sse",
}
}
}3. Streamable HTTP Transport (Recommended for remote connections)
uvx excel-mcp-server streamable-httpStreamable HTTP transport connection:
{
"mcpServers": {
"excel": {
"url": "http://localhost:8000/mcp",
}
}
}Environment Variables & File Path Handling
SSE and Streamable HTTP Transports
When running the server with the SSE or Streamable HTTP protocols, you must set the `EXCEL_FILES_PATH` environment variable on the server side. This variable tells the server where to read and write Excel files.
- If not set, it defaults to
./excel_files.
You can also set the FASTMCP_PORT environment variable to control the port the server listens on (default is 8017 if not set).
- Example (Windows PowerShell):
```powershell
$env:EXCEL_FILES_PATH="E:\MyExcelFiles" $env:FASTMCP_PORT="8007" uvx excel-mcp-server streamable-http
```
- Example (Linux/macOS):
```bash
EXCEL_FILES_PATH=/path/to/excel_files FASTMCP_PORT=8007 uvx excel-mcp-server streamable-http
```
Stdio Transport
Don't lose this
Three weeks from now, you'll want Excel Mcp Server again. Will you remember where to find it?
Save it to your library and the next time you need Excel Mcp Server, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. A Model Context Protocol server for Excel file manipulation. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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