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

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.

A Model Context Protocol server that integrates Cursor IDE with Bitbucket Cloud, allowing developers to fetch repository information and commit data directly from their Bitbucket workspace.

Enables AI assistants to interact with Bitbucket Cloud and self-hosted instances for pull request reviews, code search, repository operations, and managing PR comments and approvals.

Enables Claude and other AI agents to manage Bitbucket Cloud repositories, pull requests, branches, tags, commits, diffs, files, and pipelines through a secure local MCP server with read and write tools.

MCP server for Bitbucket Cloud that exposes 35 tools covering repositories, pull requests, branching models, and pipelines, enabling AI clients to automate Bitbucket workflows.

An integration tool that enables AI assistants like Claude to directly access and interact with Bitbucket repositories, pull requests, and code without requiring copy/paste operations.

Connects Claude Desktop and Claude Code to Bitbucket Cloud, enabling searching PRs, commits, diffs, and file content for AI-assisted bug triage and impact analysis.

Enables playing a Workato-themed text-based RPG through MCP tools, allowing users to explore dungeons, battle enemies, and manage character progression in an integration-themed adventure.

MCP server with 58 tools for Bitbucket API operations. Manage repositories, pull requests, pipelines, branches, commits, deployments, webhooks, and more.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests through generic GET, POST, PUT, PATCH, DELETE, and clone tools, including reading PR diffs, adding comments, approving, merging, and filtering responses with JMESPath. It connects LLMs directly to version control workflows so tasks like code review, repository search, and PR management can be done in natural language.

Enables AI-powered pull request review and analysis for Bitbucket Cloud, plus tools to list, create, diff, comment on, and analyze PRs. Supports stdio or HTTP transports with OAuth/bearer auth and pluggable LLM providers.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, and pull requests by providing MCP tools for listing, reading, creating, commenting, searching, and cloning.

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

Integration project for Model Context Protocol (MCP) servers with Claude Desktop App, enabling filesystem operations, development support, and file management through natural language.

Enables AI assistants to interact with Atlassian Bitbucket Cloud workspaces, repositories, branches, commits, pull requests, issues, pipelines, and deployments through generic API tools and repository cloning. Supports natural-language code search, review, commenting, and workflow automation via the MCP interface.

An MCP server that connects any two systems so an agent can explore both, map between them, and run real data transfers — then shows its working in a run folder you can audit afterwards.

Enables ChatGPT to generate images, videos, and scenes through FrameForge, and open the full FrameForge experience, with secure OAuth-based authentication.

Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida

A Model Context Protocol (MCP) server for integrating with the SATIM payment gateway system in Algeria, enabling AI assistants to process CIB/Edhahabia card payments through the SATIM-ePAY platform.

Enables read-only monitoring, failed-message analysis, health summarization, and AI-assisted troubleshooting against SAP Cloud Integration tenants through MCP-compatible clients.

Enables users to connect to their email inbox via IMAP to search, filter, and summarize emails based on criteria like subject, date, and sender. Supports marking emails as read and provides customizable email summarization with various prompt options.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables AI assistants to read and manage Bitbucket Cloud workspaces, repositories, pull requests, branches, commits, and code through tools exposed over the standard MCP interface.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests through generic API tools for reading, creating, commenting, searching, comparing, and managing resources. It supports natural-language version control workflows using scoped API tokens or app passwords.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, pull requests, branches, commits, and code through MCP tools for listing, retrieving, searching, commenting, managing PRs, and cloning repositories.

Provides specialized tools for portfolio health analysis, rebalance simulations, and trade execution via a single interface powered by MongoDB. It enables AI agents to manage investment portfolios while adhering to organizational governing rules, clearance guards, and rate limits.

Enables MCP-compatible AI clients to interact with a Bitbucket Data Center instance through its REST API v1.0, exposing 55 tools for projects, repositories, pull requests, comments, diffs, tasks, branches, tags, commits, files, and build statuses. Supports stdio and streamable HTTP transports with token or basic authentication and compacted tool results.

Enables a language model to read Bitbucket Cloud pull requests and post line-anchored comments with a summary, while deliberately preventing merge, decline, or approval actions.

Enables AI assistants to work with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests — listing, creating, commenting, comparing diffs, searching code, and cloning repos — through natural language. It exposes generic GET/POST/PUT/PATCH/DELETE/clone tools with JMESPath filtering and a token-efficient output format for LLM workflows.