Basic
Createdpriteshshah96
Demonstrates Model Context Protocol (MCP) integration with FastAPI and Gradio for AI model interaction.
About
This project showcases a basic MCP server with a Gradio frontend, allowing users to interact with AI models through a simple chat interface. It utilizes FastAPI for the backend, Gradio for the frontend, and integrates with the Google Gemini API. While some features, such as citation analysis, may have limitations, the project offers a quick start setup using Python, pip (or the faster uv package installer), and provides a structured directory for easy development.
Key Features
- Scientific paper search using Semantic Scholar.
- Easy setup process with clear instructions.
- Paper analysis tools.
- Backend powered by FastAPI and MCP Python SDK.
- Simple chat interface for AI model interaction.
- 3 GitHub stars
Use Cases
- Building a simple AI chat interface.
- Analyzing scientific papers.
- Experimenting with Model Context Protocol.