MCP - HelpMeTest

MCP

Load Testing MCP Servers: Concurrent Tool Calls, Streaming, and k6 Benchmarks

MCP servers work fine with one client. The question is whether they hold up when five AI agents are calling them simultaneously, or when a single agent fires off ten parallel tool calls in a complex workflow. Most MCP server developers never test this. They ship, an agent makes concurrent

MCP

Testing MCP Client Integrations: Mocking Servers, Tool Selection, and Context Injection

Most MCP testing guides focus on the server side: does the server expose correct tools, does it handle errors, does it perform under load.

MCP

How to Test MCP Tool Implementations: Schema, Handlers, and Error Propagation

Your MCP tool works in Claude Desktop. You've called it manually a dozen times. It returns results. You're confident.

MCP

Integration Testing MCP Servers End-to-End: Transports, Tool Calls, and Resource Listing

Unit tests for MCP tool handlers are necessary but not sufficient. They test the function — they don't test whether the server correctly handles the MCP protocol, whether tools are advertised correctly, whether resources are listed as expected, or whether the transport layer survives malformed messages. Integration tests do.

MCP

Testing MCP Server Authentication and Authorization: OAuth, Tokens, and Permission Scoping

Most MCP server tutorials skip authentication. The examples use stdio transport with no auth, the server runs locally, and there's nothing to secure.

Testing

MCP Server Testing Patterns: From Unit to End-to-End

A previous guide covered the basics of testing MCP servers — unit testing tools, resources, and prompts with in-memory transports.

Testing

How to Test MCP Servers: Tools, Resources, and Prompts

Model Context Protocol has rapidly become the standard interface for connecting AI agents to external capabilities.

MCP

How to Test Your MCP Server Before Shipping

You built an MCP server. You tested it locally. Claude can call your tools. You're ready to ship.

AI Testing

How to Monitor AI Agents in Production (The Layer Most Teams Miss)

Your AI agent shipped. Traffic is flowing. Everything looks clean in your LLM observability dashboard — latency is fine, token usage is stable, no exceptions in the logs. And somewhere, quietly, your agent is returning the wrong answer to every third user. This is the silent failure problem. It is not

Developers

Playwright MCP: Browser Automation for AI Agents (And Its Limits)

Playwright MCP is a Model Context Protocol server that lets AI agents (Claude, Copilot, Cursor) control a browser using the accessibility tree instead of screenshots. It's useful for AI-driven browser automation — but it still requires local Playwright and doesn't replace a proper test automation strategy.