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Code & Dev Compatible: claude

MCP Server Scaffold & Tool Spec

Complexity Level: Advanced
Prompt Code Block

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

### Generated Component Preview: ```typescript // Fully validated modern structure import { z } from 'zod'; export const RequestSchema = z.object({ id: z.string().uuid(), createdAt: z.date().default(() => new Date()), data: z.record(z.string(), z.any()) }); export type ValidatedRequest = z.infer<typeof RequestSchema>; ```

Prompt Metadata

DifficultyAdvanced
Compatibilityclaude

Primary Use Cases:

  • Legacy code modernization & technical refactoring
  • Full-stack layout generation & component structuring
  • CI/CD workflow automation & unit/E2E testing suites

Associated Tags:

#mcp #tools #typescript #agents

💡 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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