"Bitbucket pull request reviewer information" matching MCP servers:

Enables automated GitHub pull request review through a multi-agent system using LangGraph and MCP tools, analyzing PR metadata, files, patches, comments, and policies with RAG, guardrails, HITL approval, and Langfuse observability.

Enables code review through Cursor CLI integration with GPT-5. Provides a cursor.review tool that executes code reviews and returns structured JSON results with automatic audit logging.

Enables AI-powered code review and improvement, including analysis, refactoring suggestions, and automatic test generation, with an optional agentic loop for iterative refinement.

Uses Claude as an independent second-model reviewer inside Codex, performing reviews on disposable Git snapshots with structured findings.

A zero-cost, multi-server MCP suite that provides a unified gateway and LangGraph-based automated PR-review agent, enabling code analysis, GitHub operations, and documentation generation via free-tier APIs.

Enables autonomous coding agents to inspect Git commits, create pull requests, parse issue threads, and post reviews on GitHub repositories.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables MCP clients to delegate routine coding tasks to a local model in isolated git worktrees, using test results as a gate and the client as the reviewer before changes are merged.

Enables AI agents to request human decisions and send notifications through chat platforms like Slack and WhatsApp, with ephemeral in-memory pending requests and no central backend.

From ticket to reviewed pull request, on your own machine

Description: Pay-per-request access to Claude and GPT models via Solana USDC using a Phantom wallet address. No accounts, no API keys — wallet-native authentication.

An MCP server that automates the full software development lifecycle through an AI-driven TDD state machine. It handles everything from task decomposition and test-driven development to integration testing and automated pull request creation.

Enables AI assistants to delegate specific tasks to specialized sub-agents (e.g., test-writer, code-reviewer). Supports both Cursor and Claude Code with custom agent definitions.

Exposes GitHub issue and pull-request triage capabilities to any MCP client: fetching repository context, classifying and prioritizing requests, finding duplicates, and applying labels, comments, assignments, closures, or reopenings. All writes are policy-gated, dry-run by default, and destructive actions require explicit two-step human confirmation.

Provides MCP tools to score request sufficiency against a profile, block underspecified work, and write committed decision records with evidence and overrides.

Enables running isolated main and sub agent tasks in networkless Docker capsules with explicit input grants, verified artifact delivery, and independent reviewer oversight via MCP tools.

MCP bridge for using local Claude CLI as a bounded reviewer and analysis delegate for Codex.

Enables Codex to interact with Google Jules through MCP, allowing discovery of connected GitHub repositories, starting coding sessions, monitoring activity, sending follow-up instructions, approving plans, and retrieving results and pull-request links.

Automates GitHub issue-to-PR workflows using specialized AI agents (analyst, architect, developer, tester, reviewer) that analyze requirements, design solutions, implement code, generate tests, and perform code reviews with HIPAA compliance checks.

Orchestrates multiple AI agents (Product Manager, Software Architect, Engineer, QA, Reviewer) to collaboratively plan, design, implement, review, and improve software development projects via MCP tools.