mcp-jenkins-server

The MCP Jenkins server is designed to streamline the interaction between AI systems and Jenkins CI/CD environments. By providing a standardized interface, it simplifies the integration process, allowing AI tools to manage builds, check statuses, and automate job management efficiently. This server enhances workflows by enabling secure connections between AI systems and Jenkins, leading to improved automation and data handling. The adoption of MCP principles with Jenkins can lead to better communication, automated documentation, and dynamic task management, ultimately fostering innovation and scalability within organizations.

Features

• {'name': 'Standardized Interface', 'description': 'Allows AI tools to communicate with Jenkins in a uniform manner, simplifying integration and enhancing functionality.'}
• {'name': 'AI Integration', 'description': 'Enables AI systems to connect securely with Jenkins, allowing for improved automation and data handling.'}
• {'name': 'Enhanced Workflows', 'description': 'Utilizes MCP to streamline CI/CD processes, making deployments more efficient and reducing manual intervention.'}

Usage with Different Platforms

Jenkins and SonarQube Integration

Bash
from mcp.client import Client

sonarqube_client = Client("http://sonarqube-mcp-server:8000")

quality_gate = sonarqube_client.call_tool(
    "get_quality_gate_status",
    params={"projectKey": "my-project-key"}
)

print("Quality Gate Status:", quality_gate)

if quality_gate.get("status") != "OK":
    raise Exception("Quality gate failed - aborting pipeline")