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jeffallan/atlassian-mcp

Atlassian 제품과 통합하여 MCP 프로토콜을 통해 프로젝트 추적 및 문서를 관리합니다. JQL 필터로 Jira 이슈를 조회하거나, 사용자 정의 필드로 티켓을 생성 및 업데이트하고, CQL로 Confluence 페이지를 검색 또는 편집하고, 스프린트와 백로그를 관리하거나, MCP 서버 인증을 설정하고, 문서를 동기화하거나, Atlassian API 통합을 디버깅할 때 사용하세요.

atlassian-mcp란 무엇인가요?

이 스킬은 MCP(Model Context Protocol)를 통해 Atlassian 제품 스위트(Jira, Confluence)와 통합하는 에이전트 도구입니다. 개발자는 이를 활용하여 JQL(Jira Query Language) 필터로 이슈를 조회하고, 사용자 정의 필드를 포함한 티켓을 생성 및 업데이트하며, CQL(Confluence Query Language)로 Confluence 페이지를 검색하고 편집할 수 있습니다. 또한 스프린트 및 백로그 관리, MCP 서버 인증 설정, 문서 동기화, Atlassian API 통합 디버깅 등을 지원합니다. 이 도구는 Claude Code, Cursor, Codex와 같은 AI 에이전트 플랫폼에서 사용하도록 설계되었으며, 복잡한 Atlassian API 호출을 추상화하여 자연어 명령으로 프로젝트 관리 작업을 자동화합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/jeffallan/claude-skills/tree/main/skills/atlassian-mcp

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즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

atlassian-mcp은(는) 무엇을 하나요?

Atlassian 제품과 통합하여 MCP 프로토콜을 통해 프로젝트 추적 및 문서를 관리합니다. JQL 필터로 Jira 이슈를 조회하거나, 사용자 정의 필드로 티켓을 생성 및 업데이트하고, CQL로 Confluence 페이지를 검색 또는 편집하고, 스프린트와 백로그를 관리하거나, MCP 서버 인증을 설정하고, 문서를 동기화하거나, Atlassian API 통합을 디버깅할 때 사용하세요.

기능

  • Jira 이슈 관리: JQL을 사용하여 이슈를 조회하고, 사용자 정의 필드로 티켓을 생성 및 업데이트합니다.
  • Confluence 문서 관리: CQL로 페이지를 검색하고, 내용을 생성 및 편집합니다.
  • 스프린트 및 백로그 관리: 스프린트를 생성 및 관리하고, 백로그 항목을 우선순위화합니다.
  • 인증 설정: MCP 서버 인증을 구성하고 관리합니다.
  • 문서 동기화: Atlassian 인스턴스 간 또는 외부 시스템과 문서를 동기화합니다.
  • API 통합 디버깅: Atlassian API 호출을 테스트하고 문제를 해결합니다.

설정

  1. .env 파일에 Atlassian 자격 증명을 설정하세요:

    JIRA_URL=https://your-domain.atlassian.net
    [email protected]
    JIRA_API_TOKEN=your-api-token
    CONFLUENCE_URL=https://your-domain.atlassian.net
    [email protected]
    CONFLUENCE_API_TOKEN=your-api-token
    
  2. mcp.json에 도구를 구성하세요:

    {
      "mcpServers": {
        "atlassian": {
          "command": "npx",
          "args": ["-y", "@jeffallan/atlassian-mcp"],
          "env": {
            "JIRA_URL": "<YOUR_JIRA_URL>",
            "JIRA_EMAIL": "<YOUR_EMAIL>",
            "JIRA_API_TOKEN": "<YOUR_API_TOKEN>"
          }
        }
      }
    }
    

사용 예시

Jira 이슈 조회

"Sprint 'Sprint 23'에서 진행 중인 이슈를 모두 보여줘"

Jira 이슈 생성

"다음 세부 정보로 새 Jira 이슈를 생성해: 프로젝트: PROJ, 요약: '버그 수정', 설명: '로그인 페이지의 문제를 수정해야 함', 유형: 버그, 담당자: johndoe"

Confluence 페이지 검색

"CQL로 'API 문서'를 검색하고 링크를 반환해"

지원

자세한 정보는 GitHub 저장소를 방문하세요.

라이선스

MIT

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

jeffallan/angular-architect

Generates Angular 17+ standalone components, configures advanced routing with lazy loading and guards, implements NgRx state management, applies RxJS patterns, and optimizes bundle performance. Use when building Angular 17+ applications with standalone components or signals, setting up NgRx stores, establishing RxJS reactive patterns, performance tuning, or writing Angular tests for enterprise apps.

jeffallan/api-designer

Use when designing REST or GraphQL APIs, creating OpenAPI specifications, or planning API architecture. Invoke for resource modeling, versioning strategies, pagination patterns, error handling standards.

jeffallan/architecture-designer

Use when designing new high-level system architecture, reviewing existing designs, or making architectural decisions. Invoke to create architecture diagrams, write Architecture Decision Records (ADRs), evaluate technology trade-offs, design component interactions, and plan for scalability. Use for system design, architecture review, microservices structuring, ADR authoring, scalability planning, and infrastructure pattern selection — distinct from code-level design patterns or database-only design tasks.

jeffallan/chaos-engineer

Designs chaos experiments, creates failure injection frameworks, and facilitates game day exercises for distributed systems — producing runbooks, experiment manifests, rollback procedures, and post-mortem templates. Use when designing chaos experiments, implementing failure injection frameworks, or conducting game day exercises. Invoke for chaos experiments, resilience testing, blast radius control, game days, antifragile systems, fault injection, Chaos Monkey, Litmus Chaos.

jeffallan/cli-developer

Use when building CLI tools, implementing argument parsing, or adding interactive prompts. Invoke for parsing flags and subcommands, displaying progress bars and spinners, generating bash/zsh/fish completion scripts, CLI design, shell completions, and cross-platform terminal applications using commander, click, typer, or cobra.

jeffallan/cloud-architect

Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost optimization, disaster recovery, landing zones, security architecture, serverless design.

jeffallan/code-documenter

Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutorials and user guides. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, getting started guides.

jeffallan/code-reviewer

Analyzes code diffs and files to identify bugs, security vulnerabilities (SQL injection, XSS, insecure deserialization), code smells, N+1 queries, naming issues, and architectural concerns, then produces a structured review report with prioritized, actionable feedback. Use when reviewing pull requests, conducting code quality audits, identifying refactoring opportunities, or checking for security issues. Invoke for PR reviews, code quality checks, refactoring suggestions, review code, code quality. Complements specialized skills (security-reviewer, test-master) by providing broad-scope review across correctness, performance, maintainability, and test coverage in a single pass.

jeffallan/cpp-pro

Writes, optimizes, and debugs C++ applications using modern C++20/23 features, template metaprogramming, and high-performance systems techniques. Use when building or refactoring C++ code requiring concepts, ranges, coroutines, SIMD optimization, or careful memory management — or when addressing performance bottlenecks, concurrency issues, and build system configuration with CMake.

jeffallan/csharp-developer

Use when building C# applications with .NET 8+, ASP.NET Core APIs, or Blazor web apps. Builds REST APIs using minimal or controller-based routing, configures database access with Entity Framework Core, implements async patterns and cancellation, structures applications with CQRS via MediatR, and scaffolds Blazor components with state management. Invoke for C#, .NET, ASP.NET Core, Blazor, Entity Framework, EF Core, Minimal API, MAUI, SignalR.

jeffallan/database-optimizer

Optimizes database queries and improves performance across PostgreSQL and MySQL systems. Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.

jeffallan/debugging-wizard

Parses error messages, traces execution flow through stack traces, correlates log entries to identify failure points, and applies systematic hypothesis-driven methodology to isolate and resolve bugs. Use when investigating errors, analyzing stack traces, finding root causes of unexpected behavior, troubleshooting crashes, or performing log analysis, error investigation, or root cause analysis.

jeffallan/devops-engineer

Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. Handles deployment automation, GitOps configuration, incident response runbooks, and internal developer platform tooling. Use when setting up CI/CD pipelines, containerizing applications, managing infrastructure as code, deploying to Kubernetes clusters, configuring cloud platforms, automating releases, or responding to production incidents. Invoke for pipelines, Docker, Kubernetes, GitOps, Terraform, GitHub Actions, on-call, or platform engineering.

jeffallan/django-expert

Use when building Django web applications or REST APIs with Django REST Framework. Invoke when working with settings.py, models.py, manage.py, or any Django project file. Creates Django models with proper indexes, optimizes ORM queries using select_related/prefetch_related, builds DRF serializers and viewsets, and configures JWT authentication. Trigger terms: Django, DRF, Django REST Framework, Django ORM, Django model, serializer, viewset, Python web.

jeffallan/dotnet-core-expert

Use when building .NET 8 applications with minimal APIs, clean architecture, or cloud-native microservices. Invoke for Entity Framework Core, CQRS with MediatR, JWT authentication, AOT compilation.

jeffallan/embedded-systems

Use when developing firmware for microcontrollers, implementing RTOS applications, or optimizing power consumption. Invoke for STM32, ESP32, FreeRTOS, bare-metal, power optimization, real-time systems, configure peripherals, write interrupt handlers, implement DMA transfers, debug timing issues.

jeffallan/fastapi-expert

Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python.

jeffallan/feature-forge

Conducts structured requirements workshops to produce feature specifications, user stories, EARS-format functional requirements, acceptance criteria, and implementation checklists. Use when defining new features, gathering requirements, or writing specifications. Invoke for feature definition, requirements gathering, user stories, EARS format specs, PRDs, acceptance criteria, or requirement matrices.

jeffallan/fine-tuning-expert

Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.

jeffallan/flutter-expert

Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performance optimization.

관련 스킬