eofmcp: MCP Server for Local Source File Management, Based on QTMCP & QT-6

Eofmcp

This project is an MCP server based on QTMCP, mainly used for local file management of source code, including listing, reading, and writing operations, and depends on the QT-6 framework.

Developer tools File system #MCP Server #QT Framework #File Management .cpp

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update time : 2025-12-04

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What is the EoF MCP Server?

The EoF MCP Server is a software tool based on the Model Context Protocol (MCP). MCP is a protocol designed to enable large language models (such as AI assistants) to access external tools and data securely and controllably. This server is built on QTMCP and integrates a core 'Source Code Processing Tool' specifically designed to help developers or project managers conveniently browse, read, and modify source code files in local projects.

How to use the EoF MCP Server?

You don't need to run this server directly. It mainly serves as a backend service and works with AI assistants that support the MCP protocol (such as Claude Desktop). After installation and configuration, you can use natural language in the AI assistant's conversation to request it to list project files, view code content, or perform simple file editing.

Application Scenarios

1. **Code Review and Exploration**: Quickly understand the structure and key code of an unfamiliar project. 2. **AI-assisted Programming**: Let the AI assistant provide more accurate modification suggestions or generate new code based on your existing code context. 3. **Project Management**: Quickly locate and view multiple files in the project without manually switching in the editor.

Main Features

Local File Management

Core function. Allows secure access to the local file system through the MCP protocol, enabling file listing, reading, and writing operations. This is the basis for the AI assistant to understand your project code.

Based on the QT-6 Framework

The server is developed using the mature and cross - platform QT-6 framework, ensuring good stability, performance, and the potential for future graphical user interface (GUI) expansion.

Standard MCP Integration

Follows the Model Context Protocol standard and can be seamlessly integrated into any MCP - supported client (such as Claude Desktop, Cursor IDE, etc.), providing powerful tool expansion capabilities for the AI assistant.

Advantages

**Improve Efficiency**: Interact with the AI through natural language to operate code, eliminating the need to manually search for and switch files, greatly improving development efficiency.

**Context Awareness**: Provides the AI assistant with the real - time code context of your project, making its suggestions and answers more targeted and accurate.

**Secure and Controllable**: The MCP protocol is designed to limit the AI's access scope (usually limited to the project directory you specify), which is safer than directly granting the AI full system permissions.

**Cross - platform Support**: Based on QT-6, it can run on mainstream operating systems such as Windows, macOS, and Linux.

Limitations

**Dependent on Specific Clients**: It needs to be used with an AI assistant client that supports MCP and cannot run independently to provide a user interface.

**Relatively Basic Functions**: The current version mainly focuses on basic file reading and writing, lacking more advanced code analysis, building, or debugging tools.

**Requires Configuration**: Users need to install and configure according to the guide, which poses a certain threshold for non - technical users.

**Performance Overhead**: Running an additional server process will occupy a certain amount of system resources.

How to Use

Environment Preparation

Ensure that the necessary dependencies are installed on your system. The most important one is the QT-6 development framework. Please refer to the official QT documentation for installation according to your operating system (Windows/macOS/Linux).

Get the Server

Clone the project source code from the GitHub repository to your local machine.

Build and Run

Compile and start the MCP server according to the specific instructions in the project (such as README_qtmcp.md). This usually involves using qmake or CMake for building.

Configure the AI Client

In the configuration file of the AI assistant client you are using (such as Claude Desktop), add the configuration item for this MCP server, specifying the path to the server's executable file and the root directory of the project that is allowed to be accessed.

Start Using

Restart the AI assistant client. Now, you can try to request the AI to operate your project files in the conversation.