Edgar Cerecerez
September 17, 2025
4 min read
September 17, 2025
4 min read
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Cut code review time & bugs by 50%
Most installed AI app on GitHub and GitLab
Free 14-day trial
Every dev team knows the pain of code reviews if performed in isolation. An AI tool (or even a teammate) can comment on syntax, style, and patterns, but without business requirements, deployment dependencies, or organizational knowledge, it’s just guessing at half the story.
CodeRabbit currently has a number of native integrations including Linear, Jira, and Circle CI. We have seen the value that context from those tools provide to code reviews. That’s why we’re excited to announce the GA of CodeRabbit’s integration with MCP servers. This will allow you to bring in even more context into your reviews.
With this launch, we become the first AI code review platform that orchestrates context from across your entire development ecosystem from business requirements in Confluence to system dependencies in your CI/CD pipeline to data from any internal MCP servers. All to provide code reviews that actually understand what your code is trying to accomplish.
Start your 14-day trial → Get context-aware reviews that reference your actual team standards in ~10 minutes.
Development teams operate across dozens of tools:
Requirements live in Linear
Design specifications exist in Figma
Architectural decisions get documented in Confluence
Security standards evolve in internal wikis after each audit
AI code reviewers start with basic context: your codebase, some coding guidelines, maybe a few integrations. They analyze syntax, check patterns, and suggest improvements. But they miss the context that determines whether code actually works for your team.
As a MCP client, CodeRabbit acts as a compiler for organizational context. It takes high-level inputs - your wikis, tickets, deployment patterns - and compiles them down into precise, actionable code review insights. Instead of bloated integrations or brittle hacks, MCP lets clients like CodeRabbit pull in just the right data from your MCP servers from places like your Linear tickets, Confluence docs, Datadog metrics, or Slack discussions.
CodeRabbit searches connected MCP servers before starting a review. For example, database schema changes might get checked against data architecture documents. API endpoint implementations might get verified against service design patterns documented in internal wikis.
Example: CodeRabbit verifies code consistence
Traditional code review tools require specific integrations. CodeRabbit's MCP integration works with any system with an MCP server. Your proprietary internal tools, boutique SaaS platforms, custom documentation systems. If there's an MCP server, CodeRabbit can connect.
With CodeRabbit as an MCP client, you’re reviews gain depth from bringing in three different types of context.
Native integrations: GitHub Actions, GitLab CI, Bitbucket Pipelines
MCP Servers: Datadog, New Relic, SonarQube, Snyk, Grafana
Example Review Comment:
This includes things like requirements, user stories, and acceptance criteria.
Native integrations: Linear, Jira, GitHub Issues, GitLab Issues
MCP Servers: Confluence, Notion
Example Review Comment:
We also pull in things like prior decisions, conventions, meeting notes, and institutional knowledge.
Native integrations: PR history, Team conventions
MCP Servers: Slack, Microsoft Teams, Stack Overflow for Teams, PagerDuty
Example Review Comment:
Setting up CodeRabbit's MCP client requires minimal configuration. Most development teams can connect their first MCP server in under 10 minutes.
Popular development tools with MCP server support:
Linear (native MCP support, 5 minutes)
Notion (MCP server available, 10 minutes)
Confluence (community MCP server, 15 minutes)
Figma (MCP plugin available, 10 minutes)
Define which code changes should search which development systems. Database changes check architecture documentation. Authentication changes check security documentation.
Adding an MCP server is easy:
In the CodeRabbit dashboard, head over to integrations > and toggle to the MCP Servers tab if needed
You can click on one of the pre-configured MCP server options or the New MCP Server button to add other MCP servers.
For MCP servers not on the list, enter the relevant credentials.
Note the usage guidance which serves as context for how the MCP information should be used.
Once connected. You can see the available calls and hover over them to see more details.
You can also click on each call to enable/disable access.
Note: All MCP Server queries are ephemeral. CodeRabbit processes them in real-time with zero data retention.
CodeRabbit works out of the box with 50+ integrations. With MCP, you can extend it to your custom servers and internal tools. Start with the systems you already use — Linear, Confluence, Datadog, Slack — and add more as you go.
