Mesrai
// product

One platform. Every review surface.

From the diff in your editor to the merged-PR analytics view — Mesrai owns the entire review workflow with one consistent engine, controlled by rules you write and models you choose.

II.Control + customization
4 levers

Custom Prompts

per-repo

Override the default review prompt per repo. Add your domain context — Mesrai applies it to every PR.

Severity Filter

low → critical

Pick the minimum severity that posts comments — low / medium / high / critical. Tune the noise floor.

Custom Messages

voice

Replace the default start-of-review / end-of-review messages. Voice the bot however your team likes.

Memories

audit

Mesrai remembers decisions across reviews. Auditable. Promote / discard from the dashboard.

III.Platform
4 integrations

Bring Your Own Key

byok

Connect OpenAI, Anthropic, Vertex, Bedrock, or any compatible LLM. You pay your provider directly.

Notifications

email · slack · webhook

Per-event routing across email, in-app, Slack, Discord, webhook. Critical events sticky-banner the app.

Plugins (MCP)

beta

Connect external tools via the MCP protocol — pull in Jira context, Datadog alerts, your own services.

Enterprise Controls

enterprise

SSO (SAML), role-based access, audit logs, centralized YAML config, merge gates on critical findings.

IV.Analytics
enterprise tier

Pulse Analytics

enterprise · cloud

PR cycle time, deploy frequency, code health by category, throughput, lead time breakdown, per-developer trends.

?Frequently asked
6 questions
  • How accurate is Mesrai's AI review?+

    A well-tuned Mesrai review catches 70-90% of real issues with a false-positive rate under 10% on most codebases. Accuracy improves over time as Mesrai Rules tune themselves from your team's reactions to past findings — bot accuracy is a moving target, but the trend is consistently upward inside any given workspace.

  • What are Mesrai Rules?+

    Mesrai Rules are team-specific review rules written in plain English or YAML — things like "always use the structured logger, never console.log" or "tests must live next to their source file". Mesrai applies them on every PR alongside the built-in bug, security, and performance agents.

  • Can I use my own LLM key (BYOK)?+

    Yes — BYOK is supported on every paid plan. Connect OpenAI, Anthropic, Google Vertex, AWS Bedrock, Groq, Cerebras, or any OpenAI-compatible endpoint. Mesrai charges the platform fee; your LLM bill flows directly to your provider. Typical savings versus AI-Included at high volumes: 30-60%.

  • Does Mesrai work on monorepos?+

    Yes. The mesrai-graph AST engine builds a semantic index across the whole repository, so the review understands cross-package dependencies, type imports, and architectural boundaries — not just the diff in isolation. Tested on monorepos of 1M+ LOC.

  • How does Mesrai integrate with CI?+

    Three ways. (1) The cloud reviewer runs automatically on every PR via the git-provider webhook. (2) The Mesrai CLI (`npx mesrai review`) can run as a CI step inside GitHub Actions, GitLab CI, CircleCI, and similar. (3) The pre-push hook gives local-machine review before the PR even opens.

  • Is there a free trial?+

    Yes. 14 days, every Pro feature unlocked, 1,000 AI credits included. No credit card required, no auto-charge at the end. Sign up at app.mesrai.com.

// ship

Free for individuals. Built for teams.

Two-minute install. First PR reviewed today. No credit card.