Triage Sentry Errors into Linear Issues with Slack Alerts

When new errors appear in Sentry, automatically create structured Linear issues with full stack trace context, assign them to the right team, and post a Slack alert so engineers are unblocked immediately.

How the workflow runs

The scenario uses specific integration tools at each step, while Metorial keeps access scoped and visible.

  1. 1

    Fetch unresolved Sentry errors

    Query Sentry for new unresolved issues across configured projects, filtering by recency and severity.

    • sentry.list_issues
  2. 2

    Retrieve full error context

    For each qualifying issue, fetch the complete stack trace, breadcrumbs, and tag breakdown.

    • sentry.get_issue
  3. 3

    Check for duplicate Linear issues

    Search Linear to avoid creating duplicate issues for the same underlying error.

    • linear.search_issues
  4. 4

    Create a structured Linear issue

    Open a Linear issue with the error summary, stack trace, affected environment, and appropriate priority and label.

    • linear.create_issue
  5. 5

    Mark Sentry issue as in-progress

    Update the Sentry issue status to in-progress and link it to the Linear issue.

    • sentry.update_issue
  6. 6

    Notify the engineering channel

    Post a formatted Slack message with the error summary and links to both the Sentry issue and the new Linear ticket.

    • slack.send_message

Integrations used in this scenario

sentry

List Issues

Search and list unresolved Sentry issues filtered by project and status.

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sentry

Get Issue Details

Retrieve full stack trace, tags, and context for a specific Sentry issue.

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sentry

Update Issue

Mark the Sentry issue as in-progress once a Linear issue is created.

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linear

Create Issue

Create a Linear issue with the error title, stack trace, and priority.

View details

linear

Search Issues

Check for duplicate Linear issues before creating a new one.

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slack

Send Message

Post a Slack alert to the engineering channel linking the Sentry error and Linear issue.

View details

Connected systems

Integration

Sentry

Track, manage, and resolve application errors and performance issues. List, query, and bulk-update issues and error events with filters like status, assignment, and tags. Create and manage releases, associate commits, and upload source maps. Configure issue alert rules and metric alert rules with notification actions. Set up cron monitors to detect missed or failed scheduled jobs. Build custom dashboards with configurable widgets. Run ad-hoc Discover queries across errors and transactions for performance analysis. Manage organizations, teams, projects, and members. Provision users via SCIM. Access session replay data. Receive webhooks for issues, errors, alerts, comments, and installation events.

View Sentry

Integration

Linear

Create, read, update, and delete issues across teams with support for priorities, labels, assignees, due dates, and workflow states. Manage projects that group related issues, and organize work into time-boxed cycles (sprints). Create and manage documents, comments, and file attachments. Search issues using vector similarity or rich filters. Configure teams, workflow states, and labels. Track customers and link them to issues. Subscribe to real-time webhooks for changes to issues, projects, cycles, comments, documents, and more.

View Linear

Integration

Slack

Slack: connect with bot OAuth or user OAuth. Send, update, delete, and schedule messages; list and cancel scheduled messages; open DMs and group DMs; manage conversations, members, files, reactions, pins, bookmarks, reminders, user groups, and user status; search messages and files with user scopes; and retrieve user, conversation, and workspace info.

View Slack

Expected outcomes

Outcome 1

Errors surface in Linear within minutes of appearing in Sentry

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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Outcome 2

Engineers receive immediate Slack context without manually checking dashboards

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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Outcome 3

Duplicate issue creation is prevented through pre-flight deduplication

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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Outcome 4

Sentry issue status stays synchronized with Linear workflow state

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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How Metorial powers this scenario

Metorial is the governed connection layer between your AI agents and the tools your company runs on. It turns workflows like triage sentry errors into linear issues with slack alerts into something you can deploy quickly, safely, and at scale.

Fast

Ready for your entire team

Connect 1000+ verified integrations through one Magic MCP URL instead of building and maintaining bespoke connectors for each system in this workflow.

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Secure

Guardrails on every action

Protoguard inspects every message and tool call for prompt injection and policy violations before an agent touches your systems.

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Enterprise

SSO, policies, and audit trails

Agents act on real identity under company SSO, with per-user and per-group access policies and a complete, searchable record of everything that happens.

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Team ready

Reusable across your org

Package this workflow as a skill, attach the tools it needs, and let teammates run it through Portals — governed by admins, owned by the people who do the work.

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Products behind this workflow

The Metorial products that connect, govern, and observe this scenario.

Connectivity

Integrations

Start from 1000+ verified integrations or bring your own, and give every one a governed path to your agents under existing SSO and access policies.

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Connectivity

Magic MCP

A single URL your AI client connects to. Sign in with the login you already use and your agent reaches every integration and tool you allow — no per-app setup.

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Identity

Access Control

Sign in with company SSO, set policies per user and group, and let agents act on real identity across every connected system in this workflow.

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Governance

Protoguard

Metorial’s security layer reviews every message and tool request before an agent acts — catching prompt injection and blocking anything outside your policies.

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Observability

Tracing

A complete, searchable record of everything your agents, team, and machines do across these integrations, so you can trust the workflow in production.

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Governance

Portals

Let teammates connect agents to the integrations and skills your company already uses, with admins deciding who gets access to what.

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Built for your whole team

However you adopt AI, Metorial has a path for connecting it safely.

Solution

For Agents

Give the agents behind this scenario governed access to every tool and integration they need, with one connection layer instead of bespoke glue code.

Agents solution

Solution

For Enterprise

SSO, granular access control, security review, and full audit trails so this workflow meets enterprise governance and compliance requirements.

Enterprise solution

Solution

For your Workforce

Let the people who do this work connect their own AI agents to approved integrations and reusable skills — safely, without waiting on engineering.

Workforce solution

Build this workflow with your own tools

Metorial gives teams one governed layer for connecting integrations to real production work.