github
List Issues
Retrieve recent or updated issues from the GitHub repository.
Engineering teams that use both GitHub and Linear often struggle to keep issue tracking consistent across the two systems. This workflow reads new or updated GitHub issues and creates or updates corresponding Linear issues so product and engineering leadership have a unified view.
The scenario uses specific integration tools at each step, while Metorial keeps access scoped and visible.
List recently created or updated issues from the target GitHub repository, filtering by label or milestone as needed.
Get the complete body, labels, assignees, and metadata for each issue to prepare for mapping.
Search Linear for issues that reference the same GitHub issue ID to determine whether to create or update.
For issues not yet tracked in Linear, create a corresponding issue with appropriate priority, labels, and a link back to the GitHub issue.
For issues already in Linear, update the state, description, or metadata to reflect changes made in GitHub.
github
Retrieve recent or updated issues from the GitHub repository.
github
Fetch full details of a specific GitHub issue including labels and assignees.
linear
Search Linear for an existing issue linked to the GitHub issue to avoid duplicates.
linear
Create a new Linear issue with mapped priority, labels, and description from the GitHub issue.
linear
Update an existing Linear issue if the GitHub issue has changed state or details.
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.
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.
Metorial is the governed connection layer between your AI agents and the tools your company runs on. It turns workflows like sync github issues to linear for cross-team engineering visibility 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.