Overview: Lists pipeline schedules through GitLab.
Benefits:
Common Use Cases:
With Adopt AI, your agents can tap into GitLab's full DevOps platform capabilities. Here are five ways teams use the GitLab MCP integration:
1. Automated Merge Request Review & Assignment
AI agents monitor GitLab merge requests, assign reviewers based on code ownership, and flag potential conflicts before human review begins.
2. CI/CD Pipeline Monitoring & Alerting
AI agents track GitLab pipeline runs, alert teams on build failures, and provide root cause analysis for failed jobs and deployments.
3. Issue Triage & Labeling
Automatically classify, label, and prioritize incoming GitLab issues based on content analysis, affected components, and historical patterns.
4. Security Vulnerability Management
AI agents scan GitLab repositories for dependency vulnerabilities and security alerts, generating actionable reports and auto-creating remediation issues.
5. Release & Deployment Automation
AI agents manage GitLab release workflows, auto-generate changelogs from merged MRs, and coordinate deployment approvals across environments.
Gets pipeline by id.
Lists issues for group and descendants.
Lists jobs for project with scope filter.
Lists group members.
Sidekiq stats (admin) if exposed on instance.
Lists users (visibility depends on permissions) with search, username, active, pagination.
Alias for MR changes endpoint for raw diff review.
POST trigger token pipeline (token, ref in query/body per GitLab trigger API).
Retries job.
Lists wiki pages.
Gets file metadata and base64 content at ref.
Forks project to namespace in _rawBody.
Deletes an issue.
Gets issue by project and internal id iid.
Lists project activity events.
Gets environment by id.
Gets plain text trace log for job.
Lists boards at group level.
Deletes group.
Gets one project by id or URL-encoded path; optional license, statistics, with_custom_attributes.
Lists MRs for group subtree.
Lists MRs assigned to current user.
Retries failed jobs in pipeline.
Lists projects visible to a user (by user id).
Lists container registry repos for project.
Creates issue with title in _rawBody.
Creates user (admin) _rawBody.
Lists diffs for commit sha.
Lists external status checks for project.
Lists projects under group.
Lists comments on issue.
Gets MR approval state.
Gets GitLab license metadata (admin).
Gets commit by sha.
Updates group.
Creates pipeline for ref with variables in _rawBody.
Lists jobs in pipeline.
Stars project for current user.
Deletes protected branch by name.
Lists projects with archived, visibility, search, owned, membership, starred, statistics, simple, and pagination. Returns id, path_with_namespace.
Lists child groups.
Gets one pipeline schedule.
Updates file content with commit message.
Gets one integration config by name.
Creates protected branch rule via _rawBody.
Lists namespaces for search.
Updates MR metadata.
Creates branch from ref in _rawBody.
Creates label via _rawBody.
Lists deploy keys for project.
Lists project import status entries when available.
Lists issues for project with iid, state, labels, milestone, order_by, sort.
Stops environment deployment.
Lists built-in gitignore templates.
Lists Kubernetes clusters for project (if enabled).
Lists users who starred project.
Unblocks user.
Lists CI/CD variables for project.
Creates CI variable _rawBody.
Placeholder list; use GL_LIST_PROJECT_VARIABLES with filter in GitLab version that supports environment_scope in UI.
Lists project badges.
Adds note body in _rawBody.
Deletes file with commit message in _rawBody.
Reverts commit creating new commit.
Gets tag by name.
Cancels pipeline.
Updates user (admin).
Lists file diffs for MR.
Lists group access requests.
Lists OAuth applications (admin).
Closes MR via state_event close in _rawBody.
Lists repository commits on ref with path, since, until, pagination.
Lists feature flags for project.
Lists issues across visible projects with project_id, state, assignee_id, author_id, search, pagination.
Lists issues assigned to current user (scope=assigned_to_me).
Lists milestones.
Deletes tag.
Lists group milestones.
Gets user by id.
Gets group by id.
Lists MR approval rules for project.
Lists MRs with project_id, state, author_username, target_branch, pagination.
Gets milestone.
Cherry-picks commit onto branch in _rawBody.
Creates group _rawBody.
Lists pending invitations.
Lists packages for project.
Adds MR note in _rawBody.
Gets release by tag name.
Approves MR.
Fetches most recent pipeline for ref using per_page=1.
Lists labels on project.
Compares two refs shas or branch names.
Lists opened merge requests only.
Lists repository tags.
Merges MR; optional squash, merge_commit_message in _rawBody.
Cancels job.
Lists access requests for project.
Deletes project permanently.
Gets wiki page by slug.
Do I need my own developer credentials to use GitLab MCP with Adopt AI?
No, you can get started immediately using Adopt AI's built-in GitLab integration. For production use, we recommend configuring your own API credentials for greater control and security.
Can I connect GitLab with other apps through Adopt AI?
Yes! Adopt AI supports multi-app workflows, so your AI agents can seamlessly move data between GitLab and CRMs, spreadsheets, messaging platforms, and more
Is Adopt AI secure?
Absolutely. Adopt AI is SOC 2 Type 2 certified and ISO/IEC 27001 compliant, and adheres to EU GDPR, CCPA, and HIPAA standards. All data is encrypted in transit and at rest, ensuring the confidentiality, integrity, and availability of your data. Learn more here.
What happens if the GitLab API changes?
Adopt AI maintains and updates all integrations automatically, so your agents always work with the latest API versions, no manual maintenance required.
Do I need coding skills to set up the GitLab integration?
Not at all. Adopt AI's zero-shot API discovery means your agents understand GitLab's schema on first contact. Setup takes minutes with no code required.
How do I set up custom GitLab MCP in Adopt AI?
For a step-by-step guide on creating and configuring your own GitLab API credentials with Adopt AI, see here.
