C++ Excel Automation
A C++ based MCP server for intelligent Excel automation using the OpenXLSX library.
C++ Excel Automation MCP Server
This is a C++ based Excel Automation MCP (Model Context Protocol) server project. It utilizes the OpenXLSX library for Excel file operations and aims to provide an intelligent set of Excel manipulation tools through the MCP protocol, leveraging LLM capabilities.
Table of Contents
Features
- Simple and Easy-to-Use MCP Interface: Provides standardized MCP tools, making it convenient for clients (like AI assistants) to invoke Excel automation functions.
- Single-File Deployment: Compiles into a single executable file for easy deployment and execution.
- Customizable Multi-language Support: Easily add or modify interface languages via JSON files.
Server Capabilities
This MCP server provides the following tools, which can be invoked by an LLM to interact with xlsx spreadsheet files:
open_excel_and_list_sheets:- Description: Open an Excel file and list all sheet names. This tool will also set the current Excel file path for subsequent operations. RECOMMENDED TO RUN THIS TOOL FIRST BEFORE ANY OPERATION OR IF WANT TO CHANGE THE FILE TO MODIFY.
- Parameters:
file_path(string): The absolute path to the Excel file.
get_sheet_range_content:- Description: Get and output table content within a specified range in a specific sheet. Automatically opens and closes the Excel file.
- Parameters:
sheet_name(string): The name of the sheet to read from.first_row(number): The starting row number (1-indexed).first_column(number): The starting column number (1-indexed).last_row(number): The ending row number (1-indexed).last_column(number): The ending column number (1-indexed).cell_with_coord(boolean, optional): Output non-empty cells with their respective coordinates, suitable for situations where the output area contains a large number of empty cells.
set_sheet_range_content:- Description: Set table content within a specified range in a specific sheet. Automatically opens and closes the Excel file.
- Parameters:
sheet_name(string): The name of the sheet to write to.first_row(number): The starting row number (1-indexed).first_column(number): The starting column number (1-indexed).values(array[array]): The 2D array of values to write to the range (supports null, boolean, number, string types).
create_xlsx_file_by_absolute_path: (Note: The tool name is defined as this in the code, but the key in JSON iscreate_xlsx)- Description: Create a new xlsx file with the given path. Automatically closes the Excel file after creation.
- Parameters:
file_path(string): The ABSOLUTE path where the file should be created.
(Note: The automatic open/close behavior mentioned in the tool descriptions is an internal implementation detail and does not require user attention.)
Building the Project
This project uses CMake for building. Installing Ninja is recommended for faster compilation speeds.
Build Steps:
- Prepare Environment:
- Ensure you have a C++17 compiler, CMake (>= 3.15), and Ninja installed.
- Clone the repository:
git clone https://github.com/smileFAace/MCP-ExcelAutoCpp.git
- Compile:
The compiled executable is typically located in the# Change to the project directory (if not already in the root) # cd MCP-ExcelAutoCpp # Generate build files (Ninja recommended) cmake -G "Ninja" -S . -B build # Perform compilation cmake --build buildbin/directory.
Usage
After successful compilation, find the executable named ExcelAutoCpp (Linux/macOS) or ExcelAutoCpp.exe (Windows) in the ./bin/ directory.
Start the Server
Simply run the executable to start the MCP server.
# Example (adjust path as needed)
./bin/ExcelAutoCpp
When you see output similar to the following, the server has started successfully and is listening on localhost:8888:
░█▀▀░█░█░█▀▀░█▀▀░█░░░█▀█░█░█░▀█▀░█▀█
░█▀▀░▄▀▄░█░░░█▀▀░█░░░█▀█░█░█░░█░░█░█
░▀▀▀░▀░▀░▀▀▀░▀▀▀░▀▀▀░▀░▀░▀▀▀░░▀░░▀▀▀
v0.0.2 By smileFAace
I(17:35:48) i18n: Successfully loaded language string for language code 'en'
I(17:35:48) i18n: Set current language to 'en'
W(17:35:48) lang.json not found at 'E:\prj\MCP-ExcelAutoCpp\bin\lang.json'. Using default language.
I(17:35:48) i18n: Set current language to 'en'
I(17:35:48) Current language set to: en
I(17:35:48) Starting MCP server at localhost:8888
I(17:35:48) Press Ctrl+C to stop the server
Connecting and Using:
This server adheres to the MCP protocol. You can use any MCP-compatible client (such as Roo, cline, claude, cherry studio, etc.) to connect to the server's SSE endpoint (default: http://localhost:8888/sse) to invoke the provided Excel automation tools.
For example, to configure this MCP server in cline, simply add the following content to the mcp configuration JSON file provided by the plugin after the server is running successfully, and then refresh:
{
"mcpServers": {
"excel-auto-cpp": {
"url": "http://localhost:8888/sse"
}
}
}
Changing and Customizing Server Language:
The server defaults to English (en) for its interface language. You can change the language by creating a custom language file:
-
Locate the directory containing the server executable (usually
bin/). -
Create a text file named
lang.jsonin that directory. -
Copy the complete key-value pairs for your desired language into this
lang.jsonfile.- You can refer to the
*.jsonfiles in thelang/directory of the project source code as templates (e.g.,lang/zh-cn/lang.jsoncontains the Chinese translations). - The
lang.jsonfile needs to contain all translation entries required for the program interface and logs.
- You can refer to the
-
Save the
lang.jsonfile and restart the server.- The server will automatically detect and load this file upon startup. If loaded successfully, it will use the language defined in
lang.json. - If the
lang.jsonfile does not exist, is incorrectly formatted, or is missing necessary translation entries, the server will fall back to the default English (en) language.
- The server will automatically detect and load this file upon startup. If loaded successfully, it will use the language defined in
Download
You can download the latest release from the Releases page.
🌟Star History
相关服务器
Kone.vc
赞助Monetize your AI agent with contextual product recommendations
Folderr MCP Server
Interact with the Folderr API to manage and communicate with Folderr Assistants.
Monday.com
Interact with Monday.com boards, items, updates, and documents.
eSignatures
Contract and template management for drafting, reviewing, and sending binding contracts.
SF book
sansfiction library book tracking and search
Fireflies
Retrieve, search, and summarize meeting transcripts from Fireflies.ai.
SS&C Next Generation
Connects AI agents to the SS&C Next Generation REST API to automate business processes.
Humanizer PRO
Humanizer PRO is an MCP server that transforms AI-generated text into natural, human-sounding content. It provides 4 tools: - humanize_text: Rewrite AI text to bypass detectors like GPTZero, Turnitin, Originality.ai, Copyleaks, and ZeroGPT. Three modes: Stealth (highest bypass rate), Academic (Turnitin-optimized), SEO (marketing content). - scan_ai_detection: Analyze text for AI patterns. Returns AI probability score, human-likeness percentage, and verdict. - check_word_balance: Check remaining word credits and subscription plan details. - get_subscription_plans: Browse plans - Free (500 words), Starter ($9.99/mo, 30K words), Creator ($14.99/mo, 100K words), Pro Annual ($119.88/yr, 100K words/mo). Authentication: OAuth 2.0. Works with ChatGPT, Claude, Cursor, and all MCP-compatible clients.
ResumeTailor
Automatically tailors resumes for specific job applications using LibreOffice.
Agentify
A multi-client AI agent monitoring and control system with automatic task completion detection.
Google Calendar Integration Project
Manage and interact with Google Calendar events using the Google Calendar API.