Agents summarize open merge requests and surface blockers.
Developer tools
GitLab MCP server
Give AI agents governed access to the GitLab MCP server through one audited gateway. Scoped permissions, full observability, and tamper-evident logs on every tool call.
What is the GitLab MCP server?
The GitLab MCP server is an open Model Context Protocol (MCP) server that connects AI agents to GitLab repositories, issues, merge requests, and pipelines. Through it an agent can search code, manage issues, and inspect CI without bespoke integration code, while the Averta MCP Gateway keeps every action scoped and audited.
gitlab-search-code
Search code across projects.
gitlab-get-file
Read file contents from a branch.
gitlab-create-issue
Open issues with labels and assignees.
gitlab-list-merge-requests
List and filter merge requests.
gitlab-create-merge-request
Open a merge request from a branch.
gitlab-list-pipelines
List CI pipelines and their statuses.
gitlab-get-pipeline
Read a pipeline's jobs and results.
gitlab-list-commits
Browse commit history on a branch.
gitlab-create-branch
Create a branch from a reference.
gitlab-list-projects
List projects in a group.
Why the Averta MCP Gateway
Centralized governance
Unified authentication, audit logging, and rate control for every GitLab MCP connection.
Observability and control
Real-time visibility into usage, anomalies, and SLA compliance across every request.
One-click deployment
Enable the GitLab MCP server for your AI teams through one governed gateway, with no manual setup.
Enterprise hardening
High availability, security, and compliance alignment turn MCP from a developer utility into production-grade infrastructure.
OAuth and SSO enforcement
Enterprise authentication and SSO applied automatically to every GitLab endpoint.
Shared and per-user auth
Configure service accounts or per-user access, with secrets protected and centralized revocation.
One managed endpoint
Connect agents to GitLab through a single governed endpoint instead of locally run servers, improving your security posture.
Granular tool access control
Allow only the tools each role needs. Enable read-only access and block write tools like create and delete.
Works with every major AI platform
ChatGPT
Gemini
Mistral
Claude Code
Cursor
Windsurf
Cognition
OpenCode
Continue
Manus
Hermes
Lindy
OpenClaw
Your ownBuilt for enterprise teams.
Cloud, private VPC, embedded SDK, or gateway integration. Run Averta where your data, policies, and auditors need it.
Cloud (SaaS)
Fully managed by Averta. Fastest path to production, no infrastructure to run.
Private / VPC
Deploy in your own environment, so data never leaves your boundary.
Embedded SDK & Proxy
Drop Averta into your stack at the SDK or proxy layer, wherever your agents run.
Gateway Integration
Route agent traffic through the gateway, so policy and audit apply at the edge.
GitLab MCP use cases
Where teams put the GitLab MCP server to work, governed end to end through the Averta MCP Gateway.
GitLab MCP · Merge request triageWhich merge requests are waiting on review?
YouSummarized merge requests awaiting review.
- Listing open merge requests
- Reading review status
All actions logged and governed
Powering safe AI execution at leading teams.
Cyfrin secures its production AI agents with Averta.
Book a demo“Averta gave our agents enforceable boundaries for the dev environment, so instructions like ‘don’t read .env files’ became policy instead of polite suggestions.”
Mikhail Karan
Head of Engineering
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GitLab MCP server, answered
Security and setup questions teams ask before connecting the GitLab MCP server to AI agents.
Yes. The Averta MCP Gateway sits between your AI agents and any MCP server, giving each agent scoped, per-agent permissions, applying allow, escalate, or block policies on every tool call, and recording a tamper-evident audit of every action. The “Why the Averta MCP Gateway” section on this page covers what it enforces.
It is as safe as the controls around it. The server can read code and act on issues, merge requests, and pipelines through one token, so scoping and auditing matter. The Averta MCP Gateway limits what each agent can reach and records every action.
Apply tool-level policy through the Averta MCP Gateway so reads run automatically while merging or running pipelines escalates for approval. Every call is logged.
Route agents through Averta's MCP Gateway for scoped per-agent permissions, tool-level policy, and tamper-evident audit across every GitLab action.
GitLab offers an MCP server, and community servers such as @zereight/mcp-gitlab exist too. Whichever one you run, routing it through the Averta MCP Gateway is what gives each agent scoped project access and a tamper-evident audit trail.
See Averta OS in action
Book a demo and see how Averta OS secures your AI agents from input to execution.
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