How to soak-test your MCP server before AI agents do it for you

Most Model Context Protocol (MCP) servers are tested with simple manual checks, which often fail to reveal issues like memory leaks or performance degradation under sustained agent activity. To address this, developer Atul Mishra has introduced 'mcpload,' an open-source tool built on k6 designed to perform load and soak testing on MCP servers. The tool simulates realistic agent behavior, including session initialization and concurrent tool calls, to identify potential bottlenecks or stability issues before deployment. The article outlines a step-by-step process for using mcpload, including containerized testing and CI integration. By running these tests, developers can establish performance baselines and identify the breaking points of their servers under heavy, long-term traffic. Mishra emphasizes that proactive testing is essential for ensuring that MCP servers remain resilient when interacting with autonomous AI agents in production environments.