GitHub, GitLab & PR Code Review MCP Servers: Enterprise Multi-Agent Stack
How to run several review agents across many repositories without handing any of them the keys to the organisation: roles, per-agent tokens, orchestration and the catalog listings for each layer.
At enterprise scale, one all-powerful review bot is the wrong design. Split the work into narrow roles (triage, security gate, reviewer, fixer, reporter), give each its own token and MCP toolsets, and put an orchestrator in front that only routes and verifies. GitHub and GitLab's own MCP controls (toolsets, read-only, scoped tokens) do most of the isolation work; orchestration and tool-router listings in the catalog help with coordination but should be verified before adoption.
Verified Capabilities Benchmarked in This Guide
Inspect Live JSON Feed ↗Master Orchestrator — Multi-Specialist Task Router & SLA Tracker
Lean executive orchestrator that decomposes complex multi-step objectives, dispatches sub-tasks to specialist bots, and verifies deliverables before report
Hierarchical Multi-Agent Team Orchestration (Research, Code & QA)
Runs a coordinated 3-bot specialist loop—Research Bot gathers specs, Builder Bot ships the branch, and QA Bot runs Playwright verification before reporting
GitHub Official MCP — Repositories, Pull Requests, Actions & Code Search
Official GitHub MCP server for searching repositories, inspecting PR diffs and review comments, triaging issues, and reading GitHub Actions workflow runs.
GitLab Merge Requests, CI Pipelines & Issue Tracker MCP Server
Connect AI coding agents to GitLab self-hosted or cloud instances: inspect Merge Request diffs, debug failed GitLab CI jobs, and update issues.
Composio Managed OAuth Tool Router & 250+ SaaS Connectors MCP
Unified managed OAuth 2.0 MCP gateway connecting AI agents to GitHub, Linear, HubSpot, Salesforce, Jira, Gmail, and Slack with automatic token refresh.
CRHQ MCP
The most advanced multi-agent harness and orchestration runtime for production AI builders.
Review Brief — 2-Minute GitHub Pull Request Risk & Reviewer Triage
Summarizes large GitHub Pull Requests into architectural intent, breaking-change risk, test coverage delta, and recommended code-owner reviewers in under t
Dependency CVE & Leaked Credential Pre-Merge Gatekeeper
Scans every commit and lockfile diff for accidentally staged API keys, high-severity npm/PyPI/Cargo CVEs, and typosquatted packages.
1. Reference roles
Each role maps to a catalog template or use case you can start from, and each has a different blast radius.
| Role | Starting point in the catalog | MCP access | Can write? |
|---|---|---|---|
| Orchestrator | Master Orchestrator template (/t/master-orchestrator) | Linear/Slack for status; no repository write | No |
| Triage | Review Brief template (/t/review-brief) | GitHub pull_requests toolset, read-only | No |
| Security gate | Dependency & Secret Audit template (/t/dependency-secret-audit) | GitHub read-only plus secret scanning | Status check only |
| Reviewer | PR review SKILL.md from this series | GitHub pull_requests toolset | Pending reviews only |
| Fixer | Multi-bot team manager use case (/use-cases/multi-bot-team-manager) | repos and pull_requests on a fork or feature branch | Branches and PRs, never merge |
| Reporter | Orchestrator output to Slack or Linear | Messaging only | Messages only |
2. One token per agent
Give every role its own GitHub App installation or fine-grained PAT so you can revoke one without stopping the rest and audit which agent did what. Map the role to MCP configuration explicitly.
3. Orchestration patterns
The orchestrator should decompose and verify, not do the work itself.
- Fan-out by repository: one triage job per PR event, routed by repo ownership (CODEOWNERS) to the right reviewer agent configuration.
- Gate in sequence: security gate must pass before the reviewer runs, and the reviewer's draft must be approved before anything is posted.
- Verify deliverables: the orchestrator checks that a fixer's PR exists, CI ran and the diff matches the task before reporting done.
- Human checkpoints: merges stay human, always. Agents can request review from people, not approve on their behalf.
4. Coordination and tool-router listings
Two catalog listings target the coordination layer. Neither replaces platform-level token scoping, and we flag their verification status honestly.
| Listing | Pulse | Role | Verification status (25 Oct 2026) |
|---|---|---|---|
| Composio (/mcp/composio) | 90 | Managed OAuth tool router across GitHub, Linear, Slack and other SaaS | Listed endpoint returned a 301 redirect; confirm the current URL in vendor docs |
| CRHQ MCP (/mcp/crhq) | 96 | Multi-agent harness and orchestration runtime | Listed endpoint returned 404 for the documented path; confirm setup with the vendor |
5. Governance checklist
Use this as the acceptance test before rolling a multi-agent review stack out across the organisation.
- Every agent has its own credential, scoped to the repositories and permissions of its role.
- No agent token can merge, change branch protection, edit workflows or read secrets.
- Each agent's MCP config limits toolsets; review-only agents use read-only URLs.
- All PR, issue and comment text is fenced as untrusted data in every agent prompt.
- Actions are logged with agent name, PR number and head SHA, and retained for audit.
- Canary injection tests (see the zero-trust audit in this series) pass for every role.
6. Building enterprise agent infrastructure?
If you maintain an orchestration runtime, gateway or review server, claim your listing to correct its endpoint and install details, or apply for a labelled sponsor placement.
Frequently Asked Questions
Should one agent handle all code review in an enterprise?
No. Split the work into narrow roles with separate credentials, so a compromised or misbehaving agent has a small blast radius and can be revoked on its own.
How do I limit what each agent can do with the GitHub MCP server?
Give each agent its own scoped token, and limit tools with toolset URLs such as /mcp/x/pull_requests, the /readonly suffix, or GITHUB_TOOLSETS and GITHUB_READ_ONLY when self-hosting.
Can agents merge pull requests in this stack?
They should not. Keep merging human, and keep merge permissions out of every agent token.
Do I need an orchestration platform?
Not necessarily. A simple queue plus the Master Orchestrator template pattern covers many teams. Evaluate dedicated runtimes when you need cross-agent state, SLAs and audit at scale, and verify their endpoints first.