MCP Tool Designer
Design and implement production-grade MCP servers with well-crafted tools, resources, and prompts that enable AI assistants to interact with external services securely and effectively.
SupaScore
84.45Best for
- ▸Build MCP servers that connect Claude to external APIs like GitHub, Slack, or databases
- ▸Design semantic tool schemas with proper input validation and error handling patterns
- ▸Architect production-grade MCP integrations with authentication, rate limiting, and security controls
- ▸Transform existing REST APIs into MCP-compatible tool interfaces for AI assistant consumption
- ▸Implement MCP resources and prompts for context-aware AI workflows
What you'll get
- ●Complete TypeScript MCP server with tool definitions, input validation schemas, and SSE transport layer for cloud API integration
- ●Python MCP implementation with stdio transport, resource URI patterns, and comprehensive error handling for local tool access
- ●Production deployment guide with authentication flows, rate limiting configuration, and monitoring setup for MCP server scaling
Not designed for ↓
- ×Generic API development without MCP-specific considerations
- ×Building AI models or training language models
- ×Frontend UI development for MCP tools
- ×Database schema design unrelated to MCP integration
Clear description of the external service/API to integrate, target AI workflows, and security/performance requirements.
Complete MCP server implementation with TypeScript/Python code, JSON schemas, deployment configuration, and security hardening.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (5 official docs, 1 industry frameworks, 1 books, 1 web)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
Use these skills first for best results.
Works well with
Need more depth?
Specialist skills that go deeper in areas this skill touches.
Common Workflows
AI-First API Development
Design API with MCP integration in mind, implement MCP server layer, then harden security for production AI assistant access
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