"Bitbucket integration for CursorAI to manage repositories and pull requests" matching MCP servers:

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

Enables interaction with a Bitbucket Server/Data Center instance, exposing its REST v1.0 API as MCP tools to manage projects, repositories, branches, pull requests, comments, diffs, commits, files, search, and build status.

Enables pull-request review workflows on Bitbucket Cloud via Claude Code, offering tools to view PR metadata, comments, diffs, and to post comments or approve.

This MCP server enables AI agents to create Pull Requests in a self-hosted Bitbucket Server instance.

Exposes enterprise tools to third-party AI agents through a single guard that authorizes each call against default-deny, purpose-scoped entitlements, executes it, and writes a hash-chained, tamper-evident decision trace the firm owns. It also verifies signed vendor webhooks and enforces a strict versioned contract, so agent activity stays scoped, auditable, and portable across vendors.

Enables natural language control of quantum photonics experiments through the qudi framework. Supports safe instrument control, measurement execution, and safety system management with built-in runlevel protection and parameter validation.

A hardened Model Context Protocol server that exposes Bitbucket Data Center operations to AI coding assistants like Claude Code, Claude Desktop, and GitHub Copilot.

Enables AI assistants to interact with Atlassian Bitbucket Cloud workspaces, repositories, and pull requests through MCP tools for listing, getting, commenting, searching, and managing version control workflows.

Enables AI assistants to interact with Bitbucket workspaces, repositories, branches, commits, and pull requests through MCP tools for listing, retrieving, commenting, searching, and managing version control workflows. It supports generic GET, POST, PUT, PATCH, DELETE, and clone operations against Bitbucket Cloud REST API endpoints.

MCP server that converts PDF, video, web, and audio inputs into structured Markdown notes with support for checkpointing, batch processing, and Obsidian integration.

Enables voice-controlled Instagram account management from the Mac notch, including reading insights, comments, DMs, and publishing photos or carousels via natural language, with scheduled publishing and secure photo handling.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

Enables turning requirements documents into RFCs, functional test scenarios, and a traceability matrix, with tools to parse, diff, and verify coverage.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.