Does it support both Python and TypeScript servers?

Yes, the skill includes specialized logic to locate and validate server implementations in both Python (FastMCP/MCP) and TypeScript environments.

Can I use this for security audits?

While it performs a basic security review for secrets and SQL injection, it is intended as a development best-practices tool rather than a comprehensive penetration testing suite.

What is a 'sequential call anti-pattern'?

It occurs when an agent must call one tool to get an ID and then a second tool to get details. This skill helps you merge those into single, more efficient calls.

How does this skill improve AI agent performance?

By ensuring tool descriptions explain exactly *when* to use a tool and providing rich return data, it reduces agent hallucinations and unnecessary API calls.

What does the MCP Server Validator actually check?

It audits tool naming (kebab-case), description quality, sequential call anti-patterns, input schema completeness, actionable error messages, and basic security vulnerabilities.

MCP Server Validator

Name: MCP Server Validator
Author: hollaugo

byhollaugo

•

API 开发

Validates Model Context Protocol (MCP) server implementations against industry best practices to ensure high-quality tool performance and security.

The MCP Server Validator is a specialized skill designed to help developers build robust and efficient Model Context Protocol (MCP) servers. It performs a comprehensive audit of tool naming conventions, description quality, input schemas, and error handling patterns. By identifying common anti-patterns—such as sequential calling requirements that hinder agent efficiency—and providing actionable fix suggestions, this skill ensures that your MCP servers are optimized for AI agents, secure from common vulnerabilities, and fully compliant with the latest protocol standards.

主要功能

01Automated tool naming and description quality audits for better agent discovery

02Actionable error message analysis to help AI agents recover from failures

03Comprehensive input schema validation ensuring all parameters are well-documented

04Identification of sequential call anti-patterns to streamline multi-step interactions

05Security review for hardcoded secrets, unparameterized queries, and authentication

061 GitHub stars

使用场景

01Optimizing tool descriptions to improve AI agent trigger accuracy

02Auditing a newly developed MCP server before production deployment

03Refactoring legacy toolsets to eliminate redundant API round-trips

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hollaugo/prompt-circle-marketplace validate

For use in Claude.ai and ChatGPT

Download Skill