MCP Server Development
Create high-quality Model Context Protocol (MCP) servers to enable AI agents to interact with external APIs and services. Follow best practices for tool design, authentication, error handling, and testing.
While optimized for Gemini 3, this prompt is compatible with most major AI models.
Professional Gemini 3 AI prompt for Gemini Python Systems Architect. Design scalable, idiomatic Python backend architectures with a focus on performance and maintainability.
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Create high-quality Model Context Protocol (MCP) servers to enable AI agents to interact with external APIs and services. Follow best practices for tool design, authentication, error handling, and testing.
Build high-performance Python APIs with FastAPI following best practices for async programming, dependency injection, Pydantic validation, SQLAlchemy integration, and production-ready patterns.
Navigate complex decisions with competing priorities using Opus 4.5s ability to handle ambiguity and reason about tradeoffs without hand-holding.
Generates complete REST API specifications with endpoints, request/response schemas, authentication, and implementation code.
Professional Gemini 3 AI prompt for Gemini API Design Consultant. Design clean, pragmatic, and developer-friendly APIs following industry best practices.
Guides AI to articulate step-by-step reasoning before generating code fixes, significantly improving accuracy and reducing logical errors in debugging.
Goes beyond fixing code to explain what was wrong and what the developer likely misunderstood when writing it. Builds understanding, not just fixes.