"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.

An installable MCP server that reviews diffs/PRs against a target repository's own coding conventions, learned via RAG over its code, docs, and lint config, citing specific file:line sources.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

A three-layer funnel AI code review engine that reduces LLM token consumption by 70%+ while providing deep code analysis. It integrates with GitHub PRs via MCP protocol to automate code review with static analysis, RAG, and LLM-based checks.

MCP server that enables Claude to request chat completions with citations from the Perplexity API.

Enables comparison of resumes against job descriptions via hybrid BM25+dense retrieval, an in-process LangGraph agent, and tools for evidence search, evaluation lookup, and reviewer feedback.

A multi-API key load balancing MCP server for Tavily that automatically rotates between multiple API keys to provide high availability and increased request limits.

An MCP server that ingests Spring Boot REST microservices from GitHub, builds a request-flow ontology, and enables natural-language queries about code with flow-aware answers and citations.

Retrieves historical pull request context from GitHub repositories and provides it to IDE agents for reasoning, review, and code generation without modifying files.

Enables agents to pull compact MySQL row diffs into their context, supporting before/after changes via triggers or watermark-based updates, with tools to fetch and acknowledge changes.

Gives Alexa+ persistent long-term memory by storing and querying facts as knowledge-graph triples, enabling recall across sessions, on-request forgetting, and memory statistics.

Enables interactive GitHub pull-request review from Claude Code, with tools to fetch PRs, inspect files and repo structure, post review comments, and query a RAG index of the codebase.

Enables coding agents to find code by what it does rather than what it's called, searching local projects and remote GitHub or Bitbucket repositories all at once. Indexing and semantic search run fully offline with a locally loaded model, so code never leaves the machine.

A utility that integrates Model Context Protocol (MCP) into Express applications, offering both stateful session management and stateless request handling options.

Enables AI agents to search and retrieve context from GitHub issues, pull requests, releases, and documentation using hybrid semantic search and time-ordered activity scans.

An MCP server that integrates with Microsoft Copilot Studio to deliver random jokes from multiple sources including Chuck Norris, Dad jokes, and Yo Mama jokes upon user request.

A Model Context Protocol server that delivers jokes on demand, allowing users to request various types of jokes (Chuck Norris, Dad jokes, etc.) from Microsoft Copilot Studio and GitHub Copilot.

Enables automated GitHub Pull Request reviews using local Ollama, Cursor CLI, or Gemini CLI as AI providers. Supports customizable review prompts, comprehensive PR analysis, and optional auto-posting of reviews to GitHub.

An MCP server that delivers jokes on request, allowing Microsoft Copilot Studio and GitHub Copilot to serve different categories of jokes including Chuck Norris and Dad jokes through natural language queries.

A Model Context Protocol (MCP) server that enables integration of joke delivery capabilities into Microsoft Copilot Studio and GitHub Copilot, allowing users to request and receive various types of jokes through natural language.