jenkins-mcp-server
MCP ServerAshwiniGhuge3012/jenkins-mcp-server
An enterprise-grade Model Context Protocol server that facilitates seamless integration between AI assistants and Jenkins CI/CD environments. It provides robust capabilities for job management, build monitoring, and artifact handling.
14 6No licenseUpdated 2025-08-10
56
FairOverview
This tool serves as an intermediary layer enabling LLMs and AI agents to directly interact with a Jenkins automation server. It supports rich functionalities including triggering jobs, monitoring live build statuses, streaming console logs, tracking pipeline stages, managing build artifacts, and executing batch operations with performance caching and enterprise security features.
Capabilities
- ▸Job management and triggering
- ▸Build status tracking and log streaming
- ▸Pipeline execution monitoring
- ▸Artifact discovery and retrieval
- ▸Batch job execution with concurrency control
- ▸Intelligent performance caching
- ▸Advanced job filtering and pattern matching
Best for
Triggering and monitoring CI/CD pipelines directly through a chat interface or AI assistant, Inspecting console logs and diagnosing build failures automatically via AI agents, Batch executing and managing parallel deployment or test jobs, Searching and downloading build artifacts programmatically using AI context
Works with
Claude CodeCursorGitHub CopilotChatGPT
Evoa Score breakdown= Σ (score × weight)
56Task usefulness20%100 → +20.0
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%90 → +13.5
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%25 → +3.8
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%46 → +5.5
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%50 → +7.5
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%75 → +7.5
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%36 → +2.9
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%100 → +5.0
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total65.7 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
Requires sensitive Jenkins credentials (URL, username, and API token) via environment variables. Ensure these secrets are securely stored and not exposed in logs or client configuration files.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.