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.

Mesraione engine
PR Review
inline on every pull request
live
Mesrai CLI
local · pre-push · CI
live
IDE Rule Sync
Cursor · Copilot · Claude
live
Pulse
DORA metrics · enterprise
live
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 a flat platform fee; your LLM bill flows directly to your provider at their rates — Mesrai never marks up tokens.

  • 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 — bring your own AI key. 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.