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bubo

Agentic AI code review for GitLab MRs and GitHub PRs, with the LLM of your choice. Posts only actionable findings as inline review threads.

Install / Use

claude mcp add mountainowl -- npx -y github:mountainowl/bubo

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

73/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop
OpenAI Codex

Bubo 🦉

PyPI Python 3.14+ Docker: GHCR CI OpenSSF Scorecard Signed with cosign SLSA 3 Ruff Managed with uv Docs License: MIT

Agentic AI code review with the LLM of your choice. Bubo reviews your GitLab MRs and GitHub PRs with the model you run, and posts only the findings worth acting on as inline threads — no chatbot noise, no praise, no summaries.

  • Self-hosted — code, diffs, and review data stay on your infrastructure
  • Bring-your-own-LLM — Codex, Claude, or any model your CLI drives
  • SCM — Currently supports Gitlab and Github
  • findings — Inline or "all good" if clean
  • Governance, provenance & an auditable on-prem report - cosign-signed releases with SBOMs
  • Metrics — Opentelemetry

Full documentation → mountainowl.github.io/bubo

Install

uv tool install bubo     # or: pipx install bubo
bubo init                # idempotent; seeds config + workspace + DB
bubo doctor              # verify before the first poll
bubo-poller              # one poll cycle — dry-run by default, posts nothing

Prefer a container? docker pull ghcr.io/mountainowl/bubo (multi-arch; the review-agent CLI is BYO). Continue with the recipes and quickstart.

Documentation

Everything lives on the docs site — this README is just the front door.

| | | |---|---| | Recipes | Copy-paste GitLab / GitHub / in-house-model setups. | | Features | The full capability list. | | Configuration | Every setting, per section, plus a quick-start config. | | Operate | Deploy, schedule, grade outcomes, governance report. | | Troubleshooting | Host / infra fixes (sandbox, AppArmor). | | Metrics & telemetry | Emitted llm_review.* metrics and dashboards. |

Status

  • GitLab & GitHub posting via polling — production path, at outcome-metric parity. Set [scm].provider = "github" (or BUBO_PROVIDER=github).
  • MCP server (bubo-mcp) — read-only metrics + triggered reviews; stdio or HTTP.
  • Codex or Claude — Bubo runs the review through a wrapper around your agent CLI; Codex ships pre-wired.
  • Webhook-driven triggering — not yet; polling is the only path.

Review execution sits outside CI/CD by design — run it as a poller beside your existing pipelines.

Security

  • config/env.toml is gitignored and holds tokens. Do not print or commit real values.
  • Review-agent stdout is redacted (GITLAB_TOKEN=, OPENAI_API_KEY=, glpat-…, sk-…, credentialed Git URLs) before it touches reports, logs, or the database.
  • The reviewer subprocess runs under a strict env allowlist — host secrets aren't handed wholesale to the LLM agent.
  • Releases are cosign-signed via Sigstore keyless OIDC, with an SBOM on every release.
  • Report vulnerabilities per SECURITY.md.

Community

Contributing · Security policy · Support · Code of conduct · License: MIT

Related Skills

View on GitHub
GitHub Stars3
CategoryAutomation
Updated6d ago
Forks0

Languages

Python

Security Score

92/100

Audited on Aug 14, 2026

1 low