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Test your MCP server

Before you publish, run the Tests page to confirm every capability your MCP server exposes — tools, authentication, skills, widgets, and prompts — registers correctly. The suite runs entirely against your server's configuration, so it is safe to run as often as you like and never makes a live API call on a user's behalf.

Running the tests

  1. Open your app and go to Servers.

  2. Click Test on the server (branch) you want to check. The suite runs automatically when the page opens.

  3. Review the results. Click Run tests at any time to re-run after you make a change.

Each check reports one of four outcomes:

  • Passed — the capability registers cleanly.

  • Failed — the capability is broken or unsafe to publish. Fix it before publishing.

  • Warning — the capability registers, but something may not behave as you expect (for example, a tool missing a description). Publishing is still allowed.

  • Skipped — there was nothing to check (for example, no skills configured).

What the suite checks

Check
Category
Fails when

At least one tool is enabled

Tools

No tools are enabled — the server would expose nothing.

Tool input schemas are valid

Tools

A tool's stored input schema can't be turned into a valid MCP schema.

Tools have descriptions

Tools

(Warning) An enabled tool has no description for AI clients to read.

Authentication is configured

Authentication

The server's auth mode has no usable credential (e.g. OAuth config or API key).

Destructive tools require confirmation

Safety

An enabled destructive tool can run without Require confirmation.

Skills are valid

Skills

An enabled skill has an empty body. (Warning) a skill name collides with a tool.

Widgets are valid

Widgets

An enabled widget has empty HTML. (Warning) a tool links a disabled widget.

Prompts are valid

Prompts

An enabled prompt has an empty body.

Live conformance checks

The checks above are static — they read your server's configuration. The Conformance checks go one step further: they open a real MCP session against your published server's runtime and confirm that what the runtime actually registers matches what you configured.

Check
Category
Fails when

Runtime handshake succeeds

Conformance

The runtime won't accept an MCP session for this server.

Tools register at runtime

Conformance

An enabled tool (or a skill's skill_… tool) doesn't appear.

Prompts register at runtime

Conformance

An enabled prompt doesn't appear in the runtime's prompt list.

Skills & widgets register at runtime

Conformance

An enabled widget or skill resource doesn't appear.

These checks only issue read-only protocol calls (initialize and the capability …/list methods) — they never invoke a tool, so like the static suite they make no upstream API call and have no side effects.

Conformance checks run only for a published server (the runtime serves published branches). For a draft branch they report Skipped with a "publish to run" note. If the runtime is temporarily unreachable, they also report Skipped rather than failing — a transient outage never looks like a broken server. Because of that, conformance results are not publish-critical: they surface real registration problems but never block the publish gate.

Publish readiness

The summary banner tells you whether the server is ready to publish. The publish-critical checks are:

  • At least one tool is enabled

  • Tool input schemas are valid

  • Authentication is configured

  • Destructive tools require confirmation

If all four pass, the server clears the publish gate and you can head to the Publish page. Warnings never block publishing, but they are worth resolving so your tools behave the way AI clients expect.

Go further: catch response-shape regressions

The Tests page confirms your capabilities register correctly. To also catch an upstream API silently changing a tool's response shape, record golden scenarios for your read-only tools and replay them after a change.

Go further: chat-test in the Playground

The Tests page confirms your capabilities register correctly without making any live calls. To watch a real model use your tools end to end — making live requests in your own authorization context — open the Playground.

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