Excel MCP Server - MCP-based AI Excel Processing Tool

What is Excel MCP Server

Excel MCP Server is based on Model Context Protocol (Excel MCP Server is a server tool that allows you to operate Excel files without installing Microsoft Excel.Excel MCP Server supports creating, reading and modifying workbooks with functions such as data reading and writing, formatting, formula calculation, chart generation and pivot table creation, etc. Based on stdio, HTTP and other transmission methods, users can flexibly operate it locally or remotely. Based on stdio, HTTP and other transmission methods, users can flexibly carry out local or remote operation.Excel MCP Server's powerful automated processing capabilities are widely used in enterprise data processing, data analysis, ERP system integration, remote collaboration and education, etc., which greatly improves the work efficiency and accuracy of data processing.

Key Features of Excel MCP Server

• Workbook Management: Can create, open, save and modify Excel files, supporting a wide range of operations.
• data processing: Read and write cell data, support formula calculation.
• formatting: Support for setting cell styles, fonts and colors, and other formats.
• Charts and Visualizations: Supports the creation of many types of charts and graphs.
• pivot table: Create and modify pivot tables for easy data analysis.
• Worksheet Operations: Supports adding, deleting, renaming and reordering worksheets.
• Real-time editing and screenshots: Supports real-time editing and screen capture in Windows environments.

Excel MCP Server official website address

• Project website:: https://excelmcpserver.com/
• GitHub repository:: https://github.com/haris-musa/excel-mcp-server

How to use Excel MCP Server

• Download Software: Visit the GitHub repository for the latest version.
• Installation of dependencies: Ensure that Python 3.10+ and related dependency libraries (such as OpenPyXL and the MCP SDK) are installed.
• Operations Server: Start the server according to the document , support based on stdio , HTTP and other ways to communicate with the client .
• Select Client: Choose the right client-side tool or development language (e.g. Python, JavaScript, etc.) for your needs.
• Installing client libraries: If you're using Python, the pip install mcp-sdk Install the client library.
• Configuring Connections: Configure the client connection based on the address and port of the server.
• Send Request: The client sends requests for operations to the server, such as creating workbooks, reading data, writing data, etc.
• Processing Response: The server processes the request and returns the result, and the client receives and processes the result.

from mcp_sdk import MCPClient

# 初始化客户端
client = MCPClient("http://localhost:8080")

# 创建新的 Excel 文件
client.create_workbook("example.xlsx")

# 写入数据
client.write_cell("example.xlsx", "Sheet1", "A1", "Hello, MCP!")

# 读取数据
data = client.read_cell("example.xlsx", "Sheet1", "A1")
print(data)  # 输出: Hello, MCP!

Core Benefits of Excel MCP Server

• No Excel installation required: No need to install Microsoft Excel, directly use the server to operate Excel files, reducing deployment costs and supporting cross-platform use.
• Powerful Functional Support: Provides comprehensive Excel operations, including data reading and writing, formatting, formula calculation, chart generation and pivot table creation.
• Flexible transmissionSupport stdio, HTTP and other communication protocols, convenient for local and remote use, easy to integrate with existing systems.
• Efficient data processing: To automate data processing, reduce manual intervention, improve efficiency and accuracy, and support dynamic data updating.
• Wide range of application scenariosThe company's products are suitable for enterprise automation, data analytics, ERP system integration, and education, meeting a wide range of needs.
• Strong technical support: Python-based development with strong library support and open source community support, easy to extend and maintain.

Who Excel MCP Server is for

• Enterprise Data Analyst: Efficiently process and analyze large amounts of Excel data, generate reports and pivot tables.
• developer: Programming-based interface to automate Excel file operations, integrating into existing systems.
• ERP System Administrator: Seamlessly integrate ERP data with Excel files to improve resource management efficiency.
• educator: Quickly generate Excel files for teaching, or automatically correct student work.
• Remote Collaboration Team: Collaborate on Excel files in different locations, updating and sharing data in real time.