github-actions
List Workflow Runs
List recent workflow runs filtered by branch and failure status.
The scenario uses specific integration tools at each step, while Metorial keeps access scoped and visible.
List recent GitHub Actions runs on the main branch filtered to failed status to identify CI breakage.
Fetch step-level job details for the failing run to pinpoint which step and job broke.
Get the log download URL and extract the relevant error output from the failing job.
List recent commits on the branch to correlate the failure with a specific code change.
Open a high-priority Linear issue with the workflow name, failing step, log excerpt, and suspected commit.
Send a Slack message to the on-call channel with a summary of the failure and a link to the Linear bug report.
github-actions
List recent workflow runs filtered by branch and failure status.
github-actions
Retrieve detailed job and step-level failure information for a run.
github-actions
Download logs for the failing job to identify the root cause.
github
List recent commits on the branch to identify the likely breaking change.
linear
Create a high-priority Linear bug report with failure context and log excerpts.
slack
Alert the on-call engineer in Slack with a link to the Linear issue.
Integration
Manage GitHub Actions CI/CD workflows, runs, and jobs programmatically. Trigger, cancel, and re-run workflow runs, including re-running only failed jobs. List and download workflow artifacts and job logs. Create, update, and delete encrypted secrets and plaintext variables at repository, organization, and environment levels. Manage self-hosted and GitHub-hosted runners, including registration tokens, labels, and runner groups. Configure Actions permissions and policies, such as allowed actions, default GITHUB_TOKEN permissions, and fork pull request approval settings. Inspect and delete workflow caches. Retrieve workflow and run usage/billing statistics. Customize OIDC subject claim templates for cloud provider federation. Subscribe to webhook events for workflow runs, jobs, check runs, check suites, and deployments.
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
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.
Integration
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.
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 monitor github actions ci failures and create linear bug reports 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.