mcp

Prompt file imported from boddev/GraphConnectorWebApi (.github/prompts/mcp.prompt.md). Copyright stays with the author.

Create a Model Context Protocol (MCP) Server Integration Analysis and Task List

Analyze the current project codebase to:

1. Document all existing API endpoints, file structures, and documentation
2. Map data flow and integration points
3. Identify document retrieval and processing components
4. Evaluate current AI/ML integration capabilities

Deliverables:

1. Create detailed architecture for MCP Server integration
2. Define required API endpoints for:
   • Document retrieval and search
   • Question/prompt handling
   • Response generation via Copilot Chat API
   • Context management and state handling
3. Specify data models and schemas
4. Document integration patterns with existing codebase

Generate a tasks.yaml file with:

• Task ID
• Priority (P0-P3)
• Estimated complexity (1-5)
• Dependencies
• Acceptance criteria
• Technical requirements
• Documentation references
• Implementation guidelines

Technical Requirements:

• Use Copilot Chat API for generative responses
• Implement document context management
• Support multi-document analysis
• Enable prompt/response tracking
• Maintain security and rate limiting
• Include error handling and logging
• Support async operations
• Add telemetry and monitoring

Each task should:

• Be completable within 4 hours
• Have clear success metrics
• Include example code or pseudocode
• Reference relevant documentation
• List required dependencies
• Specify test requirements

Output Format: Generate tasks.yaml in standard GitHub Actions workflow format with appropriate labels, milestones, and assignee placeholders for coding agents.