Ollama Chat with MCP is a project that demonstrates how to integrate a local language model with real-time web search functionality through the Model Context Protocol (MCP). It includes an MCP web search server, a terminal client, and a Gradio-based web front-end, enabling locally run LLMs to access external tools and data sources.

An AI assistant chat project based on Gradio, integrating OpenAI API and Nmap tools, providing file system access and network scanning functions.

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.

An intelligent e-commerce dialogue agent system based on reinforcement learning, integrating ontology reasoning, business toolchains, dialogue memory, and a Gradio interface. It realizes closed-loop learning from data to training and then to deployment through the Stable Baselines3 PPO algorithm, and can autonomously optimize the decision-making strategy of the shopping assistant.

MonteWalk is an institutional - level quantitative trading tool server based on the MCP protocol, providing real - time market data, portfolio management, risk analysis, and backtesting functions for AI assistants. It includes more than 25 tools and 6 intelligent workflows, offering a professional trading terminal experience through the Gradio 6 interface.

A Turkish sentiment analysis project based on Gradio

MCPilot is an AI chatbot that integrates real-time tools (such as DuckDuckGo, Airbnb, and weather APIs), providing context-aware real-time queries and task assistance through the Gradio front-end and GROQ backend.

A lightweight application based on Gradio that uses Hugging Face Transformers for sentiment analysis and sarcasm detection, compatible with the MCP architecture and can run on CPUs.