jenkins-mcp-enterprise and jenkins-mcp-server

The Jordan-Jarvis/jenkins-mcp-enterprise project appears to be an enterprise-grade, feature-rich offering that builds upon or extends the core functionality provided by an MCP server for Jenkins, which the AshwiniGhuge3012/jenkins-mcp-server project exemplifies, making them likely ecosystem siblings where one is a more advanced, specialized version of the other.

jenkins-mcp-enterprise
57
Established
jenkins-mcp-server
29
Experimental
Maintenance 10/25
Adoption 6/25
Maturity 24/25
Community 17/25
Maintenance 2/25
Adoption 5/25
Maturity 7/25
Community 15/25
Stars: 20
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License: GPL-3.0
Stars: 12
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License:
No risk flags
No License Stale 6m No Package No Dependents

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.

This server helps DevOps teams and engineers quickly understand why Jenkins CI/CD pipeline builds fail. You provide a Jenkins build URL to an AI assistant, and it responds with an AI-powered root cause analysis, actionable recommendations, and relevant log sections. It's designed for organizations with complex pipelines and multiple Jenkins instances.

CI/CD DevOps Build-Management Troubleshooting Pipeline-Debugging

About jenkins-mcp-server

AshwiniGhuge3012/jenkins-mcp-server

An MCP server for interacting with a Jenkins server. Allows you to trigger jobs, check build statuses, and manage your Jenkins instance through MCP.

This project allows AI assistants, like Claude, to interact directly with your Jenkins CI/CD server. It takes commands from the AI assistant to trigger jobs, check build statuses, and retrieve logs or artifacts. This is for DevOps engineers, release managers, or anyone who uses Jenkins and wants to automate their CI/CD workflows using an AI assistant.

CI/CD automation DevOps build management release engineering AI-powered operations

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