GitHub MCP Server & AI Q&A Agent Project

Project Overview

Build an intelligent question-answering system that can understand and query GitHub repositories using Model Context Protocol (MCP) servers and a Streamlit interface.

Project Requirements

Part 1: GitHub Repository Selection & Analysis

1. Choose a Target Repository
   • Select any public GitHub repository (preferably medium-sized, 100+ files)
   • Examples: Popular open-source projects, documentation repos, or educational codebases
   • Document your choice and reasoning

Part 2: MCP Server Development

1. Create MCP Servers (Choose at least 3 of the following)

   • File Content Server: Retrieve and read file contents
   • Repository Structure Server: Get directory trees and file listings
   • Commit History Server: Access commit messages and changes
   • Issue/PR Server: Query issues and pull requests
   • Code Search Server: Search for specific code patterns or functions
   • Documentation Server: Extract and process README files and docs

2. MCP Server Specifications

   • Each server must implement proper MCP protocol
   • Include error handling and rate limiting
   • Support filtering and pagination where applicable
   • Provide clear tool descriptions for the AI agent

Part 3: Streamlit Application

1. Build Q&A Interface

   • Clean, intuitive chat-like interface
   • Display conversation history
   • Show which MCP tools were used for each response
   • Include repository information and stats

2. AI Agent Integration

   • Use an LLM (OpenAI, Anthropic, or open-source model)
   • Implement tool-calling capabilities
   • Design effective prompts for repository understanding
   • Handle multi-step reasoning and tool chaining

Part 4: Advanced Features (Choose 2+)

• Code Analysis: Analyze code quality, complexity, or patterns
• Visual Repository Map: Generate interactive visualizations
• Smart Summarization: Create repository summaries and overviews
• Change Detection: Track and explain recent changes
• Dependency Analysis: Map project dependencies and relationships
• Documentation Generation: Auto-generate missing documentation

Deliverables

1. Source Code
   • MCP server implementations
   • Streamlit application code
   • Configuration files and documentation

Sample Question Types Your System Should Handle

• "What is this repository about and what does it do?"
• "Show me the main entry points of this application"
• "What are the recent changes in the last 10 commits?"
• "Find all functions related to authentication"
• "What dependencies does this project use?"
• "Are there any open issues related to performance?"
• "Explain how the database connection is implemented"
• "What's the testing strategy used in this project?"