"Bitbucket integration for repository and pull request management" matching MCP servers:

Analyzes Git pull request diffs to detect breaking REST and GraphQL API schema changes, providing deterministic AST-level code review and breaking change alerts for CI/CD workflows.

Enables automated semantic analysis of Git pull request diffs to detect breaking REST/GraphQL API schema changes, integrating with MCP-compatible clients for AI-driven code review.

MCP server for Bitbucket Cloud, focused on pull-request review workflows

Enables MCP clients to browse and interact with Bitbucket Cloud, exposing workspace, repository, branch, and pull request operations as tools.

An MCP server for Bitbucket Cloud — pull request review, repository and source tools, and a searchable index of all 294 REST endpoints so the model can reach anything the typed tools do not wrap.

A Python implementation of an MCP server that enables secure, local Bitbucket integration for AI applications, providing tools for repository management, branch creation, file operations, issue tracking, and pull request creation.

MCP server for Bitbucket Server integration, enabling project, repository, pull request, source code, branch, and code review operations via the Bitbucket Server APIs.

An MCP server for Bitbucket Cloud, covering pull requests, pull request comments, and pipelines.

A production-grade MCP server for managing git projects, offering dynamic tool selection and enterprise-grade security.

Enables AI assistants to interact with Bitbucket repositories and pull requests, including listing repositories, retrieving repository details, fetching pull requests, and creating pull requests through Bitbucket Cloud and Server APIs.

Enables interaction with Bitbucket Cloud REST API 2.0, supporting pull requests, pipelines, logs, and repository cloning through MCP tools.

Enables AI assistants to interact with Bitbucket repositories and pull requests via Bitbucket Cloud and Server APIs, supporting repository listing and retrieval plus pull request creation, viewing, and filtering.

MCP server that provides a citation-first memory layer for AI agents, enabling verified search across Git-backed repositories and optional conversation memory. It exposes tools for doctor, sync, search, get, init, and ingest, returning JSON results with verified citations or abstain status.

Enables AI agents to search, read, and traverse a local knowledge base of Markdown files using full-text search and relationship graph, reducing token usage.

Enables AI assistants to interact with Bitbucket Cloud and Server APIs for repository and pull request operations, including listing repositories, retrieving details, and creating or fetching pull requests.

Enables AI assistants to interact with Bitbucket Cloud and Server APIs for repository and pull request operations, including listing repositories, getting repository details, and fetching or creating pull requests.

Exposes Bitbucket Cloud repository and pull request data as tools consumable by any MCP-compatible client, with per-request authentication via the caller's own Bitbucket API token.

An AI-powered FastMCP server tool that automates the process of planning tasks, generating code, and creating GitHub pull requests.

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.

A Model Context Protocol server for Bitbucket Cloud that lets agents read pull request diffs, comments, and pipeline logs, as well as write PR comments and edit PR details.

An MCP server for reviewing Bitbucket Cloud pull requests, allowing clients to read PRs, tickets, and comments and leave review comments without leaving the editor.

MCP server for Bitbucket Cloud that enables reviewing, managing, and merging pull requests, assigning reviewers by name, reading files at a ref, and inspecting pipeline status from any MCP client.

Enables retrieval of pull request metadata and diffs from Bitbucket Cloud and Server/Data Center, with optional comment creation.

Enables LLMs to review Bitbucket pull requests with custom checklists and API token authentication.

Enables AI assistants to manage Bitbucket Cloud repositories, pull requests, branches, commits, pipelines, issues, and webhooks through the Model Context Protocol.

Enables an agent to work a pull request end to end on a self-hosted Bitbucket Server or Data Center instance over REST 1.0: listing and reading PRs, checking merge state and veto reasons, reading activity threads, posting threaded comments, resolving tasks, toggling the draft flag, and merging. Host and credentials are read from environment variables, so it reaches older self-hosted instances that the official Atlassian offerings do not cover.

Facilitates interaction with Bitbucket Server for pull request management using the MCP protocol, supporting operations such as creating, merging, commenting, and reviewing pull requests.

Enables management of Bitbucket Cloud pull requests through natural language, including creating, reviewing, approving, and commenting on PRs with automatic default reviewer support.

Enables AI assistants to manage Bitbucket Cloud repositories, pull requests, pipelines, and code review tasks through natural language.

An MCP server for Bitbucket Cloud that enables managing pull requests, branches, and repositories in natural language from any MCP-capable client.