github
List Commits
List commits included in the new release to pass to Sentry for suspect commit tracking.
The scenario uses specific integration tools at each step, while Metorial keeps access scoped and visible.
Identify a newly published GitHub release and retrieve its tag, name, and target commit SHA.
List all commits since the previous release tag to pass to Sentry for suspect commit tracking.
Find the Sentry project that corresponds to the GitHub repository being released.
Register the new release version in Sentry and associate the commit list to enable suspect commit detection for new errors.
List open Sentry issues before the release to establish a baseline for post-release comparison.
Temporarily raise error rate alert thresholds in Sentry for 30 minutes post-release to suppress expected deployment noise.
github
List commits included in the new release to pass to Sentry for suspect commit tracking.
github
Retrieve repository metadata to identify the correct Sentry project mapping.
sentry
Create a new Sentry release and associate the commits from the GitHub release.
sentry
Review open Sentry issues before the release to establish a pre-release baseline.
sentry
Temporarily raise error rate alert thresholds during the post-release window to reduce noise.
sentry
Identify the Sentry projects associated with the deployed repository.
Integration
Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.
Integration
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.
Outcome 1
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Outcome 2
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Outcome 3
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Outcome 4
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Metorial is the governed connection layer between your AI agents and the tools your company runs on. It turns workflows like manage sentry alert rules based on github release activity into something you can deploy quickly, safely, and at scale.
Fast
Connect 1000+ verified integrations through one Magic MCP URL instead of building and maintaining bespoke connectors for each system in this workflow.
Secure
Protoguard inspects every message and tool call for prompt injection and policy violations before an agent touches your systems.
Enterprise
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.
Team ready
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.
The Metorial products that connect, govern, and observe this scenario.
Connectivity
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.
Connectivity
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.
Identity
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.
Governance
Metorial’s security layer reviews every message and tool request before an agent acts — catching prompt injection and blocking anything outside your policies.
Observability
A complete, searchable record of everything your agents, team, and machines do across these integrations, so you can trust the workflow in production.
Governance
Let teammates connect agents to the integrations and skills your company already uses, with admins deciding who gets access to what.
However you adopt AI, Metorial has a path for connecting it safely.
Solution
Give the agents behind this scenario governed access to every tool and integration they need, with one connection layer instead of bespoke glue code.
Solution
SSO, granular access control, security review, and full audit trails so this workflow meets enterprise governance and compliance requirements.
Solution
Let the people who do this work connect their own AI agents to approved integrations and reusable skills — safely, without waiting on engineering.