Rank new Sentry issues by events and users affected
Manus lists the issues that are new or still unresolved, sorts them by impact and tells you which one to fix first and why. Put a time in the prompt and it runs every morning as a scheduled task.
Manus is an independent AI agent, not a Sentry feature. It connects through Sentry’s official MCP server with your own account, reads issues and stack traces, adds Seer’s root cause analysis when your plan includes it, and suggests a fix.
1Error
2Root cause
3Suggested fix
Instead of reading Sentry alerts one by one, get one list of new and unresolved Sentry issues, ranked by events and users affected.
Manus lists the issues that are new or still unresolved, sorts them by impact and tells you which one to fix first and why. Put a time in the prompt and it runs every morning as a scheduled task.
Paste an issue link for faster Sentry debugging. Manus reads the stack trace and event details, and adds Seer’s analysis when your Sentry plan includes Seer.
Manus reads the stack trace and event details and explains what broke and which line to look at. When your plan includes Seer, Sentry’s own AI debugger, Manus also reads its root cause and checks it against the stack trace.
AI bug fixing you can check first: a suggested code change in chat, or a pull request in your repository when GitHub is connected too.
Manus writes the change it recommends as a diff and explains how it fixes the root cause. It’s a suggestion in chat, so your code stays as it is.
With GitHub connected too, Manus makes the fix on a new branch and opens a pull request that links the Sentry issue. Merging stays with you.
Manus hands what it finds to your team: a Linear ticket with steps to reproduce, or a weekly Sentry error monitoring report in Slack.
Manus writes a Linear issue with the error, steps to reproduce, users affected and a link back to Sentry.
AI error monitoring on a schedule: put the time in your prompt and Manus saves it as a scheduled task. Each Monday it sums up new errors, slow requests and releases, then posts the report to Slack.
There’s no server address or token to copy. Sentry is already in Manus Connectors, and you sign in with your own Sentry account.
In Manus, open Connectors and select Sentry.
Use your Sentry account and choose what to allow on Sentry’s approval screen.
Ask in plain words, and name a project or paste an issue link when you have one.
Sentry MCP is Sentry’s official MCP (Model Context Protocol) server at mcp.sentry.dev. It lets an AI agent read your Sentry data, such as issues, events and stack traces, through your own Sentry account. Manus connects to it from Connectors, so there’s no Sentry MCP server for you to run.
Open Connectors in Manus, select Sentry and sign in with your Sentry account. Sentry’s approval screen then lists what Manus can use, and you can untick anything you don’t want. After that, paste an issue link or name a project in a task.
What your Sentry account can open: issues and events, stack traces, projects, teams and organizations, releases, traces and other performance data, and Seer’s root cause analysis when your Sentry plan includes Seer.
Not on its own. It changes code only when you ask and GitHub is connected too: it works on a new branch and opens a pull request, and merging stays with you. It resolves, assigns or updates Sentry issues only if you allowed issue triage when you connected. To check first, ask it to show you the changes before it makes them.
No. Seer is Sentry’s own AI debugger, and Sentry Autofix is the Seer flow inside Sentry that goes from an issue to a fix. Both run in Sentry on plans that include Seer. Manus is a separate AI agent: it reads Seer’s analysis through the connector and uses it in your task, together with apps like GitHub, Linear and Slack.
Yes. It can read your alert rules, traces, releases and profiles, so you can ask what an alert watches or where a slow request spends its time. It creates or changes alert rules only if you allowed project and team management when you connected.
No. A “Sentry Claude Code” or “Sentry Cursor” setup guide has you add Sentry’s MCP server to that tool yourself. In Manus, Sentry is already listed in Connectors: sign in once, ask in a chat and the task runs in the cloud.
No. Your Sentry Slack integration, GitHub integration and any others keep working as they are. When you ask Manus to post to Slack, open a GitHub pull request or create a Linear issue, it uses the connectors you’ve set up in Manus.
Yes. Open Connectors in Manus, select Sentry and choose Disconnect. You can connect again later and choose different permissions on Sentry’s approval screen.