Jenkins MCP Server

A Model Context Protocol (MCP) server that provides access to Jenkins data and functionality through a standardized interface for LLMs.

Overview

This project implements an MCP server that connects to Jenkins instances, allowing Large Language Models to:

• Access Jenkins job data as resources

• Execute Jenkins-related operations through tools

• Utilize predefined prompts for common Jenkins interactions

Related MCP server: Jenkins MCP Server

Installation

Prerequisites

• Python 3.8+

• Access to a Jenkins instance

Setting up with uv

We recommend using uv for managing Python environments:

# Install uv if you haven't already
curl -sSf https://install.ultraviolet.dev | sh

# Create a new project
uv init jenkins-mcp-server
cd jenkins-mcp-server

# Add dependencies
uv add "mcp[cli]"
uv add python-jenkins

Environment Variables

Create a .env file with your Jenkins configuration:

# Create .env file
cat > .env << EOL
JENKINS_URL=https://your-jenkins-instance.com
JENKINS_USERNAME=your_username
JENKINS_API_TOKEN=your_api_token
EOL

# Load environment variables in your shell
source .env

Usage

Running the server

Start the server in development mode with:

uv run mcp dev server.py

Features

• Resources: Access Jenkins job configurations, build history, and status information

• Tools: Trigger builds, update job configurations, and manage Jenkins tasks

• Prompts: Pre-defined interaction patterns for common Jenkins operations

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.