Scientific Paper Analyzer (Gemini)
A basic MCP application that combines a FastAPI backend and a Gradio frontend, supporting interaction with AI models through a simple interface and integrating the Google Gemini API to implement paper search and analysis functions.
rating : 2.5 points
downloads : 20
What is the MCP Server?
The MCP server is a tool based on the Model Context Protocol (MCP) for interacting with AI models. It allows users to easily access functions such as scientific paper search, analysis, and chatting with AI through a simple interface.How to Use the MCP Server?
You can start using it in just a few steps: install dependencies, set up the API key, start the server, and access the web interface.Applicable Scenarios
Suitable for researchers and developers who need to quickly find academic materials or interact with AI.Main Features
Scientific Paper SearchSearch for relevant papers using the Semantic Scholar API, supporting keyword retrieval.
Paper AnalysisConduct in-depth analysis of selected papers and extract key information.
Simple Conversation InterfaceCommunicate with AI models in natural language through a friendly interface.
Advantages and Limitations
Advantages
Easy to install and configure
Friendly interface, suitable for non-technical personnel
Supports integration of multiple functions
Limitations
Some advanced functions may be restricted by the API
Requires a stable network connection
How to Use
Clone the Project Repository
Run the following command to clone the project locally: `git clone https://github.com/yourusername/basic-mcp-app.git`.
Create a Virtual Environment
Create a Python virtual environment and activate it: `python -m venv venv && source venv/bin/activate`.
Install Dependencies
Install dependency packages using pip or uv: `pip install -r requirements.txt` or `uv pip install -r requirements.txt`.
Set Up the API Key
Copy the `.env.example` file and fill in your API key: `cp .env.example .env`.
Start the Server
Run the script to start the backend and frontend: `python run.py`.
Usage Examples
Example 1: Paper SearchEnter keywords such as 'Quantum computing' to get a list of relevant papers.
Example 2: Chat with AIAsk the AI a question such as 'Hello, what's the weather like today?'.
Frequently Asked Questions
How to solve the rate limit problem?
Why can't I find some papers?
Related Resources
MCP Official Documentation
Learn the detailed description of the MCP protocol.
GitHub Project Page
View the source code and contribution methods.
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