Mcp Jenkins Intelligence

by heniv96

239 downloads

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GitHub

About

AI-powered Jenkins pipeline intelligence platform with natural language interface. Provides comprehensive pipeline analysis, failure prediction, optimization suggestions, and automated Jenkinsfile reconstruction using Model Context Protocol (MCP) integration.

Details

Author: heniv96
Downloads: 239
Categories: Developer Tools, Infrastructure, AI, Automation, Other

- Real-time pipeline monitoring and health analytics
- AI-powered natural language queries for Jenkins operations
- Failure analysis with intelligent root cause identification
- Performance optimization suggestions for build times
- Enterprise security with data anonymization and local execution
- Multi-authentication support including Azure AD integration

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Mcp Jenkins Intelligence

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

From the repository

Download a binary release from the GitHub releases page (or use the installer script) for your platform. Add a configuration entry to your MCP client (e.g., Cursor/VS Code) with the binary path and environment variables JENKINS_URL, JENKINS_USERNAME, and JENKINS_TOKEN.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp jenkins intelligence": {
            "mcp-jenkins-intelligence": {
                "command": "python",
                "args": [
                    "-m",
                    "pytest"
                ]
            }
        }
    }
}

McpServers

{
    "mcp-jenkins-intelligence": {
        "command": "python",
        "args": [
            "-m",
            "pytest"
        ]
    }
}

MCP Jenkins Intelligence

> The Jenkins Intelligence Platform
> Transform your Jenkins operations with AI-powered natural language interfaces and comprehensive pipeline analysis.

🚀 Quick Start (Binary Distribution)

Prefer a ready-to-use binary? Download the latest release and start using MCP Jenkins Intelligence in seconds!

📦 Download & Install

```bash

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

MCP Jenkins Intelligence

🚀 Quick Start (Binary Distribution)

📦 Download & Install

Install

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