"How to compare the master branch with a feature branch using Cursor" matching MCP servers:

Um servidor MCP completo para integração com Sentry no Cursor, oferecendo 27 ferramentas para monitoramento de erros, performance e saúde de aplicações.

An MCP server that integrates Azure DevOps with Cursor IDE, allowing Claude AI to manage projects, work items, repositories, pull requests, and test plans.

An MCP server that adds engineering discipline to AI-assisted development, enforcing evidence-gated TDD, security review, backup strategy, and deployment generation to turn AI-generated code into production-ready software.

Enables interaction with Azure DevOps through natural language in Cursor IDE. Supports work item management, pull requests, builds, releases, test management, and guided workflows for development teams, QA testers, and release management.

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

Provides 26 tools for Puppet Master framework operations including initialization, development, database management, deployment, builds, linting, testing, configuration, knowledge retrieval, contribution workflows, and code reviews.

Enables interaction with Azure DevOps services through Personal Access Token authentication. Provides 75 tools for managing work items, builds, repositories, pull requests, and other DevOps operations via both CLI and HTTP API interfaces.

A LangGraph-powered MCP server for infrastructure orchestration with autonomous subagents.

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Enables scanning Python repos for dead code and automatically drafting a branch + PR for the safe subset (unused single-name imports) after running the repo's full test suite. All other findings are reported without modification, and a human always merges.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.

An MCP server that provides deterministic tools for AI assistants to standardize development workflows, including branch naming, commit validation, and PR checklists.

Publishes what an AI made — a page, a markdown or PDF doc, or a whole site — to a live HTTPS link. Runs locally over stdio from the @drop2run/mcp npm package, or hosted at https://mcp.dropto.run/mcp for chats that connect by URL.

This MCP server lets you use Cursor IDE, or any MCP Client enabled agent, to use natural language to accomplish things with CircleCI, e.g: Find the latest failed pipeline on my branch and get logs

Governed CI/CD operations for self-hosted GitLab and Gitea — pipeline-failure, runner, artifact-bloat, and stale-branch RCA, with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

Automates GitHub workflows (branch creation, testing, commit/push, PR) through natural language instructions in Claude Code.

Guards PR merge decisions by validating CI, approvals, conflicts, and branch freshness.

A git-native merge gate. mergelock check compares two branches before they meet and reports the conflicts git itself won't tell you about: a function whose signature changed on one branch while the other branch added calls to the old signature, a symbol deleted on one side but still used on the other, the same function written twice.

Enables AI agents to safely manage GitHub issues, inspect discussions, create pull requests, and audit GitHub Actions CI status through strict branch-protection guards.

Enables auditing codebases for production readiness, including linting, testing, CI/CD, security, branch conventions, architecture, and an A–F quality scorecard via MCP tools.

Enables natural language interactions with GitLab via Claude Code, supporting MR reviews, issue management, pipeline monitoring, and branch comparisons.

Enables coding agents to develop on one machine and verify results on another, using branch-bound runbooks, isolated checkpoints, and structured receipts to guide repair iterations.

Enables automated analysis of Woodpecker CI pipeline failures with intelligent error detection and fix suggestions. Supports both direct pipeline analysis and IDE-integrated git-context analysis using repository names, PR numbers, or branch information.

Enables turning AI code agents like Anthropic Claude and OpenAI Codex into background agents accessible via MCP protocol for code generation, branch creation, and PR automation.

Gloves-off GitHub MCP server providing full REST and GraphQL passthrough, enabling branch deletion, release creation, and asset uploads beyond the stock GitHub MCP server.

MCP server for authoring, validating, simulating, and publishing workflows for the Runbook workflow engine, including branch and run management.

Lets coding agents ask whether a Supabase migration is safe to merge: it replays the base branch and working tree into throwaway databases, reports only the findings the change introduces, and proves RLS leaks by querying as anon. Tools are read-only and take profile names instead of connection strings.

Enables Claude and other MCP clients to sign in with GitHub via OAuth and manage repositories, Actions runs and logs, releases and assets, branch protection, webhooks, Pages, Actions secrets, and arbitrary REST endpoints through dedicated tools.

An MCP server for the GitLab API that enables comprehensive project management, file operations, and issue tracking. It supports automated branch creation, batch file pushes, and interaction with merge requests and CI/CD logs.

Provides secure, controlled access to GitHub operations through the Model Context Protocol with enterprise-grade security features including secret detection, vulnerability scanning, rate limiting, and full audit trails. Supports repository management, file operations, branch creation, commits, and GitHub Actions workflows.