AppSignal Labs
Try experimental features early and help shape what we build next.
What to expect
- Early access: Use features before they're generally available.
- Rough edges: Labs features may be incomplete or change without notice. Not covered by our SLA.
- Direct influence: Your feedback goes straight to the team building the feature.
Stages
Each Labs feature sits at one of three stages, which tells you how to get involved:
- In research: We're exploring the problem and shaping the solution. You may see early pull requests, prototypes, or open calls for UX research sessions. Join a session to help us scope what we build.
- In preview: Self-serve and ready to try. Turn it on yourself, explore what's there, and share your feedback in our Discord channel.
- In beta: Closer to general availability. Some beta features sit behind a feature flag and may need to be enabled by Support. We're rolling these out gradually as we polish the rough edges.
Current Labs features
MCP server
In preview
Give AI agents like Claude, Cursor, and Zed direct access to your errors, metrics, and performance data. Available as a remote hosted endpoint or self-hosted Docker image. Turn it on yourself and try it out.
AWS dashboards
In research
46 pre-configured dashboard templates across 12 AWS service categories. Infrastructure visibility out of the box, no manual setup.
Dark mode
In beta
A dark theme for the AppSignal UI. We're rolling it out gradually. Light mode remains the default. To opt in, go to Account settings and switch the Theme toggle to Dark or System (which follows your OS preference).
Get involved
UX research sessions: 30-minute video calls where you share what's working and what isn't. Sign up →
Feedback — Use the in-feature feedback button or join us on Discord.
FAQ
Will Labs features affect my production data? No. They operate alongside your existing setup with explicit opt-in where needed.
Can I disable a Labs feature? Yes, at any time. Your configuration is preserved.
What happens to my feedback? The team building that feature reads every piece.