Testing MCP servers and integrations
What reliability testing means for Model Context Protocol integrations: conformance to the JSON-RPC contract, capability-negotiation edge cases, and — because the spec itself declares tool descriptions untrusted — injection probes through every server-supplied string. An MCP interface is an API whose consumer is a model, so its test suite gates on success rate like any other API, plus adversarial content like no other API.
Why this wins its question: Derives the test plan from the spec's own security text (untrusted descriptions, consent boundaries) instead of generic API-testing advice, and shows a real release gate with an MCP success threshold — a topic with plenty of tutorials and almost no testing literature.
Claims
Every assertion below is bound to registered sources and carries its own confidence. Weight them; do not treat the page as uniformly authoritative.
MCP standardizes stateful JSON-RPC 2.0 connections between hosts, clients and servers with capability negotiation; servers expose tools, resources and prompts, and clients may offer sampling, roots and elicitation — each a distinct surface a conformance suite must cover.
The specification itself instructs implementors to treat tool behavior descriptions and annotations as untrusted unless they come from a trusted server, to treat tools as arbitrary code execution, and to require explicit user consent before any tool invocation — making description-borne injection a spec-named test case, not a hypothetical.
MCP telemetry is standardizable today: OpenTelemetry's GenAI semantic conventions include MCP alongside model and agent spans, so integration health can be measured with shared vocabulary.
A production example of gating on it: this instance's blueprint ships an MCP interface and declares a minimum MCP success rate of 0.99 among its release thresholds.