Academichub Educhain

Academic Hub is a revolutionary research platform that provides AI - assisted paper creation, sharing, and collaboration functions for researchers, including paper construction, plagiarism detection, and academic community interaction.

Research and data Developer tools #AI assistance #Plagiarism detection #Academic community #Paper construction .TypeScript

rating : 2.5 points

downloads : 6

update time : 2025-04-29

What is the MCP server?

The MCP server is a data interaction platform for managing and coordinating model contexts. It allows users to easily create, share, and monitor model contexts, thereby improving research efficiency.

How to use the MCP server?

First, install and configure the MCP server. Then, upload data or call the model context through the API interface. Finally, you can view and analyze the generated results.

Applicable scenarios

The MCP server is very suitable for researchers and teams that need to frequently manage model contexts, especially in interdisciplinary collaborations.

Main features

Model context managementSupports uploading, downloading, and deleting model context data.

Real-time collaborationAllows multiple users to access and edit the same model context simultaneously.

Data analysis and visualizationProvides powerful data analysis tools to help you quickly understand data patterns.

Advantages and limitations

Advantages

Efficient model context management

Supports multi - person collaboration

Rich data analysis functions

Limitations

Has certain requirements for the network environment

The initial setup may be relatively complex

How to use

Install the MCP server

Download and install the MCP server according to the official documentation.

Configure the API key

Add your API key to the configuration file.

Upload the model context

Use the MCP CLI tool to upload model context data.

Usage examples

Upload the model contextUpload local model context data to the MCP server.

Query the model contextQuery the corresponding model context data according to the model ID.

Frequently Asked Questions

How to install the MCP server?

Does it support multi - person collaboration?

What should I do if the upload fails?

Related resources

MCP official documentation

Detailed installation and usage guide.

GitHub code repository

Open - source code library.

Video tutorial

Quick - start video.

🚀 Academic Hub

An AI-based research paper collaboration platform providing efficient and intelligent tools for researchers.

🚀 Quick Start

The Academic Hub is an AI-driven research paper collaboration platform. It offers efficient and intelligent tools for paper generation and collaboration, aiming to streamline the research process for scholars.

✨ Features

AI-Powered Research Paper Generator: Leverage the power of Google Gemini to quickly generate high-quality research content.
Real-time Collaborative Editing: Enable multiple users to collaborate online, enhancing team productivity.
Intelligent Citation Management: Automatically detect and manage literature citations to ensure academic compliance.
Multi-format Export: Support various file format outputs to meet different needs.

📦 Installation

Here is an example of the project structure:

academic-center/
├── app/                  # Next.js application directory
│   ├── api/              # API interfaces
│   │   ├── mcp/          # Model Control Protocol API
│   │   ├── gemini/       # Google Gemini AI API
│   │   └── papers/       # Paper management API
├── app/build-paper/      # Paper generator page
├── app/dashboard/        # User dashboard
├── app/explore/          # Paper exploration page
├── components/           # Reusable React components
├── lib/                  # Utility functions and libraries
├── public/               # Static resources
└── styles/               # Global styles