mcp-jenkins and jenkins-mcp-enterprise

Both projects provide Jenkins integrations related to AI, but **Jordan-Jarvis/jenkins-mcp-enterprise** focuses on an enterprise-grade Jenkins server with AI-powered analysis for CI/CD pipelines, whereas **lanbaoshen/mcp-jenkins** implements the Model Context Protocol to bridge Jenkins with external AI language models, making them **ecosystem siblings** within the broader AI-enhanced Jenkins landscape, potentially even complementary if the enterprise server could leverage the MCP protocol for specific AI integrations.

mcp-jenkins
59
Established
jenkins-mcp-enterprise
56
Established
Maintenance 13/25
Adoption 9/25
Maturity 16/25
Community 21/25
Maintenance 10/25
Adoption 11/25
Maturity 18/25
Community 17/25
Stars: 92
Forks: 41
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 20
Forks: 8
Downloads: 211
Commits (30d): 0
Language: Python
License: GPL-3.0
No Package No Dependents
No risk flags

About mcp-jenkins

lanbaoshen/mcp-jenkins

The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.

Exposes 20+ Jenkins operations as MCP tools—from querying jobs and builds to triggering builds and retrieving console output—while supporting multiple transport protocols (stdio, SSE, streamable-http) for integration with IDEs like VSCode and JetBrains. Implements optional read-only mode, configurable SSL verification, and session-based Jenkins client management to balance flexibility with security constraints in different deployment scenarios.

About jenkins-mcp-enterprise

Jordan-Jarvis/jenkins-mcp-enterprise

The most advanced Jenkins MCP server available - Enterprise debugging, multi-instance management, AI-powered failure analysis, vector search, and configurable diagnostics for complex CI/CD pipelines.

Implements Model Context Protocol (MCP) with stdio transport to integrate AI assistants directly with Jenkins, featuring hierarchical sub-build discovery and streaming log processing for 10+ GB files. Advanced pattern matching uses regex capture groups and custom templates to extract structured failure data, which feeds semantic search via vector embeddings for cross-build anomaly detection. Supports load-balanced routing across multiple Jenkins instances with per-instance authentication, enabling centralized management of enterprise CI/CD environments.

Related comparisons

mcp-jenkins and teamcity-mcp mcp-jenkins and mcp-jfrog mcp-jenkins and mcp-jetbrains mcp-jenkins and jenkins-mcp-server mcp-jenkins and jenkins-mcp-server mcp-jenkins and jenkins-mcp-server

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