MCP Server Scaffold & Tool Spec
Design an MCP (Model Context Protocol) server for [SERVICE/API] that exposes safe, composable tools to AI clients. Output: 1) Server overview: auth ([OAuth/API key]), rate limits, logging, and deployment target ([LOCAL | CLOUDFLARE WORKER | DOCKER]) 2) Tool catalog (6 tools max for v1): name, description, JSON Schema inputs/outputs, side effects, idempotency keys 3) Resource definitions (if any): URIs, mime types, pagination 4) Error contract: typed errors agents can recover from 5) Security review: SSRF, credential scoping, PII in logs, tool injection 6) Starter implementation outline in TypeScript using `@modelcontextprotocol/sdk` with one fully specified tool ([PRIMARY_TOOL]) including handler pseudocode Consumer: Cursor/Claude Desktop/custom agent. Compliance: [GDPR/HIPAA/none].
🌟 Example Output / Preview
Prompt Metadata
Primary Use Cases:
- •Legacy code modernization & technical refactoring
- •Full-stack layout generation & component structuring
- •CI/CD workflow automation & unit/E2E testing suites
Associated Tags:
💡 Pro Tips & Advice
1. Use bracketed items: Be sure to fill out all [PLACEHOLDER] elements with specific details before sending the prompt to the AI model.
2. Adjust temperature: For creative tasks, set AI temperature higher (e.g., 0.8), or lower (e.g., 0.2) for strict coding/technical tasks.
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