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CodeRabbit

AI code reviews with MCP-connected context

CodeRabbit reviews pull requests, supports IDE and CLI workflows, and can pull in context from connected MCP servers. It’s aimed at teams that want more context-aware review comments and code suggestions without changing their existing review process.

Slack
Integrations
B2B
CLI
IDE Extension
MCP Support
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Recent activity

What's happened with CodeRabbit lately

  • News
    CodeRabbit launches CodeRabbit Agent inside Slack to track engineering work across the full development lifecycle.

    CodeRabbit said on April 22, 2026 that it is expanding from code review into team collaboration with a Slack-based agent. The new CodeRabbit Agent is built to follow engineering work across the full software development lifecycle. For those tracking agentic AI product launches, this signals a shift from point tools to assistants that sit inside daily workflows. The key detail is that CodeRabbit wants its agent watching the work, not just reviewing the code.

    via ADTmag

News mentions sourced from our news feed; score changes from periodic re-evaluations.

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About

What It Is

CodeRabbit is an AI code review tool for software teams. Based on the documentation, it works across pull requests, an IDE review extension, a command-line review tool, and a Slack agent, so it fits into common development workflows rather than replacing them.

What to Know

This is a practical integration layer for teams already using CodeRabbit, not a general-purpose agent platform. It can automatically call relevant MCP tools during reviews and chat, but the documentation frames this as context enrichment for review...

Key Features
Reviews pull requests with AI-assisted analysis
Connects to external tools through MCP servers
Uses connected data sources during code review and PR chat
Enriches review comments with external context
Lets you enable or disable individual MCP tools per server
Use Cases
A team wants PR reviews to reference internal documentation, architecture notes, or API specs
A reviewer wants AI comments to be validated against project management or knowledge-base context
An engineering org wants to connect design references such as Figma to code review workflows
Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence
Last evaluated: Apr 23, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety
How agenticness works →

Categories

Engineering & DevTools
Pricing
  • Pro: Supports up to 5 MCP server connections.
  • Pro+: Supports up to 15 MCP server connections.
  • Enterprise: Supports up to 20 MCP server connections.
  • Pricing: Public pricing not available on the provided documentation page.
Details
coderabbit.ai
AddedApril 23, 2026
RefreshedApril 23, 2026
Agenticness
Guided Assistant
Quick Facts
DeploymentCloud-hosted
AutonomySemi-autonomous
Model supportSingle model
Open sourceNo
MCP supportYes
Team supportEnterprise
Pricing modelSubscription
Interfacechat, gui, cli, ide, api
Sources
Last updated April 23, 2026
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