MCP human acceptance testing

Let real people break your MCP server — safely.

Chatboxes are secure, shareable UAT environments that mirror the major AI hosts, so internal QA and beta testers can put your server through its paces. Every session is captured and replayable, and the same server can be tested across every model and client it will meet in production.

Human acceptance testing, made reproducible

Shareable UAT environments

Hosted, isolated web clients that mirror the major AI hosts. Send a link and let QA or beta testers try your server safely.

Sessions become regression tests

Every human tester session is captured and replayable, so a real bug report turns into a repeatable test instead of a screenshot in Slack.

One server, every client

Clients runs the same server across Claude, OpenAI, Gemini, and more, so behavior differences surface before your users find them.

Why it matters

An MCP server ships to a whole ecosystem, not one agent, and it doesn't behave the same everywhere. Models differ in how they select tools and build arguments; clients differ in protocol details. Today teams usually discover those differences one bug report at a time.

Chatboxes and Clients move that discovery earlier: real testers exercise the server in environments that mirror production hosts, and the same server is compared across models, so the differences become visible before launch instead of after.

Frequently asked questions

Secure, isolated UAT environments: a shareable web client that mirrors the major AI hosts, so internal QA and beta testers can break things safely, and their real sessions become regression tests automatically.

The inspector is for developers testing locally. Chatboxes are hosted, shareable environments for human acceptance testing across a team, with session capture and replay.

Clients runs the same MCP server against Claude, OpenAI, Gemini, and other clients so you can compare how each one selects tools and handles the protocol.

Turn tester sessions into regression tests.

See how Chatboxes and cross-client testing fit your team's acceptance workflow.

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