How does this skill handle async testing?

It includes specific patterns for pytest-asyncio, covering concurrent execution, task cancellation, and execution timeouts to prevent blocking operations.

Why is JSON-RPC 2.0 validation important for MCP?

The Model Context Protocol relies on the JSON-RPC 2.0 standard; proper validation ensures that requests and responses are correctly formatted for seamless AI-to-tool communication.

Does it cover standard error handling?

Absolutely, it includes tests for standard JSON-RPC error codes such as -32601 (Method not found), -32602 (Invalid params), and -32603 (Internal error).

What is MCP Protocol Compliance Testing?

It is a specialized Claude Code skill that provides patterns and templates for testing Model Context Protocol (MCP) servers using pytest and Pydantic to ensure they meet industry standards.

Can I use this for Pydantic schema validation?

Yes, the skill provides detailed templates for testing strict mode validation, field constraints, and JSON schema generation for tool inputs and outputs.

MCP Protocol Compliance Testing

Name: MCP Protocol Compliance Testing
Author: Agentient

byAgentient

安全与测试

Validates Model Context Protocol (MCP) implementations for JSON-RPC 2.0 compliance, schema integrity, and async execution reliability.

关于

This skill provides a comprehensive suite of testing patterns and best practices for developers building Model Context Protocol (MCP) servers. It ensures that JSON-RPC 2.0 messages are correctly structured, Pydantic tool schemas are strictly enforced, and asynchronous tool executions handle timeouts and cancellations gracefully. By implementing these standardized testing strategies, developers can guarantee interoperability, security, and high-performance reliability for their AI-integrated tools and resources within the Claude Code environment.

主要功能

Standardized error handling and status code verification
0 GitHub stars
Comprehensive integration testing for tool listing and resource reading
JSON-RPC 2.0 message structure and version validation
Strict Pydantic schema enforcement for tool inputs and outputs
Asynchronous execution testing including concurrency and timeouts

使用场景

Automating regression testing for AI tool schemas and data outputs
Ensuring robust async execution and cancellation for complex tool chains
Verifying new MCP server implementations against official protocol standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agentient/vibekit mcp-protocol-compliance-testing

For use in Claude.ai and ChatGPT

Download Skill

GitHub

关于