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By thebtf
Orchestrate AI-driven PR reviews at scale. Unified MCP interface for CodeRabbit, Gemini, Copilot, Sourcery, Qodo, Codex, and Greptile with parallel multi-agent coordination.
npx claudepluginhub thebtf/pr-review-mcpFire-and-forget autonomous PR review. Self-manages TaskList progress while your session stays free.
Autonomous multi-agent PR review. Process all AI review comments until ready for merge.
Configure AI review agents for a repository. Creates .github/pr-review.json.
Canonical consumer skill for PR review in this plugin. Delegates autonomous execution to the built-in pr-reviewer background agent and documents the correct relationship between MCP tools, MCP prompts, and Claude skills.
Autonomous AI-driven PR review orchestrator. Invokes review agents (CodeRabbit, Gemini, Codex), awaits their completion server-side, processes all findings, and runs build verification. Use this skill whenever a PR needs AI code review — after creating a PR, when review comments need processing, when asked to 'review PR', 'run review', 'check this PR', or any mention of PR review workflow. Works with any GitHub repository.
Admin access level
Server config contains admin-level keywords
Requires secrets
Needs API keys or credentials to function
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Automated code review for pull requests using multiple specialized agents with confidence-based scoring
AI code review agent for GitHub and GitLab. View and resolve Greptile's PR review comments directly from Claude Code.
コードレビュー機能を含むコーディングアシスタントプラグイン
pair-review app integration — Open PRs and local changes in the pair-review web UI, run server-side AI analysis, and address review feedback. Requires the pair-review MCP server.
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Persistent memory for Claude Code — captures observations, stores knowledge across sessions, injects relevant context automatically
Persistent memory for Claude Code — captures observations, stores knowledge across sessions, injects relevant context automatically
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
Share bugs, ideas, or general feedback.
English | Русский
Unified MCP control plane for AI pull request reviews on GitHub.
Modern pull requests often attract multiple AI reviewers, but their comments arrive in different formats, different places, and different timelines. pr-review-mcp turns that noise into one MCP-native workflow: it normalizes review output from seven agent sources, exposes 19 focused tools, and adds orchestration primitives for parallel review handling.
If you use Claude Code, Claude Desktop, or another MCP client to process GitHub reviews, this server gives you one place to list findings, inspect details, invoke agents, wait for them server-side, and coordinate worker agents without building your own review pipeline.
pr_await_reviews adds a server-side wait loop for AI reviews, so clients no longer need to poll GitHub manually while agents finish posting.pr_invoke now returns since, invokedAgentIds, and awaitHint, making the handoff into pr_await_reviews explicit and reliable.skills/review/SKILL.md, a dedicated skill that wraps /pr:review into an autonomous review workflow.@vitest/coverage-v8; v0.3.0 records 225 Vitest test cases and a 51.7% statement coverage baseline.updated_at, not only created_at.fetchAgentStatusForAgents, removing duplicated code paths.pr_await_reviews, a server-side monitor for agent completion.pr_summary, pr_list, pr_get, pr_get_work_status, and pr_progress_check.stdio by default and StreamableHTTP with pr-review-mcp --http or pr-review-mcp --http 8080..claude-plugin/plugin.json, .mcp.json, and the review skill for slash-command driven orchestration.graph TD
Client["MCP Client<br/>Claude Code / Claude Desktop / Inspector"]
Client -->|stdio| Server
Client -->|StreamableHTTP| Server
subgraph Server["pr-review-mcp v0.3.0"]
subgraph Interface["MCP Interface"]
Resource["Resource<br/>pr://{owner}/{repo}/{pr}"]
PromptReview["Prompt<br/>review"]
PromptReviewBg["Prompt<br/>review-background"]
PromptSetup["Prompt<br/>setup"]
end
subgraph Analysis["Analysis Tools (7)"]
T1["pr_summary"]
T2["pr_list_prs"]
T3["pr_list"]
T4["pr_get"]
T5["pr_changes"]
T6["pr_poll_updates"]
T7["pr_await_reviews"]
end
subgraph Action["Action Tools (6)"]
T8["pr_invoke"]
T9["pr_resolve"]
T10["pr_labels"]
T11["pr_reviewers"]
T12["pr_create"]
T13["pr_merge"]
end