Excel Reader MCP Server
E

Excel Reader MCP Server

An MCP server based on the openpyxl library for reading Excel files and returning data in a structured format
2 points
6.4K

What is the Excel Reader MCP Server?

The Excel Reader MCP Server is a tool based on the Model Context Protocol (MCP). It can read Excel files and return the data in a structured way. The server uses the `openpyxl` library in Python to process Excel files.

How to use the Excel Reader MCP Server?

First, make sure the dependencies required by the server are installed, and create a `.env` file as the configuration file. Then, start the server through the command line and interact with it using an application that supports the MCP protocol.

Applicable Scenarios

This server is very suitable for enterprises or individual users who need to quickly process and analyze Excel files, such as financial statement generation and data analysis reports.

Main Features

Read Excel Files
Supports multiple Excel file formats (such as .xlsx) and can parse their contents.
Return Structured Data
Returns the data in Excel files in JSON or other structured formats.
Flexible Deployment
Can be easily installed and run through the command line and is compatible with multiple operating systems.
Advantages
Easy to install and configure
Efficiently process Excel files
Support multiple data output formats
Limitations
May have limited performance for very large Excel files
Depends on the Python environment

How to Use

Install Dependencies
Create a `.env` file in the project root directory and set the necessary configuration parameters according to the `.env.example` template.
Start the Server
Run the command to start the Excel Reader MCP Server.
Test the Connection
Send a request using a client that supports the MCP protocol to verify if the server is working properly.

Usage Examples

Read Sales Data
Read sales data from an Excel file and generate a statistical report.
Financial Statement Analysis
Analyze the income and expense details in the financial statement.

Frequently Asked Questions

How to install the Excel Reader MCP Server?
Which Excel file formats does the server support?
What should I do if I encounter performance issues?

Related Resources

Official Documentation
Detailed installation and usage guide
GitHub Repository
Source code and contribution guide

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.8K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.9K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
7.1K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
10.4K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
10.0K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
8.7K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.8K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
9.7K
4 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.1K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
23.7K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
33.0K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
68.5K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
29.3K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
62.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.0K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
45.9K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase