When should I use a Resource instead of a Tool in MCP?

Use a Resource for read-only data (like config files, schemas, or logs) to save tokens and enable client-side caching. Use a Tool only for actions that have side effects or require the model to decide when to execute.

Can this skill help me secure my MCP server?

Yes, it provides a security checklist covering OAuth 2.1 implementation, input validation, and 'human-in-the-loop' confirmation patterns for destructive operations.

Is this skill specific to a certain programming language?

No, the guidance is language-agnostic and based on the official MCP specification, making it applicable to implementations in TypeScript, Python, Go, or any other supported SDK.

How does this skill help with token management?

It calculates token budgets based on your tool count and recommends pagination, truncation, and data curation strategies to ensure your server stays within the LLM's context limits.

What is the Model Context Protocol (MCP)?

MCP is an open standard that enables AI models to securely interact with local or remote data and tools through a unified, standardized interface.

MCP Server Expert

Name: MCP Server Expert
Author: peterstorm

bypeterstorm

0•

API Development

Guides the design, review, and optimization of Model Context Protocol (MCP) servers using industry best practices and agent-centric principles.

The MCP Server Expert skill transforms Claude into a specialized consultant for the Model Context Protocol (MCP), helping developers architect high-performance servers that align with how AI agents actually function. It provides structured guidance on selecting the right primitives—Tools, Resources, Prompts, or Sampling—to minimize token consumption and maximize utility. Whether building a new server from scratch or auditing an existing one for security and efficiency, this skill ensures implementations follow the latest 2025 specifications and production playbooks to deliver curated outcomes rather than just raw API endpoints.

Key Features

010 GitHub stars

02Performs token budget analysis to prevent context window saturation and performance lag

03Optimizes MCP primitive selection to distinguish between Tools, Resources, and Prompts

04Conducts comprehensive security audits focusing on auth, validation, and least-privilege

05Streamlines Tool APIs using flattened arguments, enums, and strong defaults

06Applies 'Outcomes Not Operations' design to streamline agent-to-tool interactions

Use Cases

01Architecting a new MCP server for a complex API using agent-first design patterns

02Refactoring a tool-heavy server by converting read-only actions into cacheable Resources

03Auditing an existing MCP implementation for security vulnerabilities and reliability issues

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add peterstorm/.dotfiles mcp-expert

For use in Claude.ai and ChatGPT

Download Skill