Mcp Hub
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Orchestrates a multi-agent workflow for deep research and code generation using Gradio's Model Context Protocol (MCP) server.
About
MCP Hub is a research and code assistant built using Gradio's MCP server functionality, demonstrating how to build a workflow of connected AI agents that work together. The system orchestrates an 8-step process, including question enhancement, web search, LLM summarization, citation formatting, result combination, code generation, code execution in a sandbox environment, and final summary creation. It integrates with services like Tavily API and Nebius LLMs to provide up-to-date information and powerful text processing capabilities, ultimately delivering executable Python code based on research findings.
Key Features
- Real-time Web Search via Tavily API integration
- Sandboxed Code Execution using Modal
- Multi-Agent Architecture for interconnected agent services
- 0 GitHub stars
- Automated APA-style citation formatting
- Code Generation of executable Python code based on research
Use Cases
- Code generation from complex queries
- Automated research and summarization
- Building custom AI-powered workflows