A Model Context Protocol (MCP) server for Jenkins CI/CD integration

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Jenkins MCP Server

Build License Python Code Style MCP Jenkins CloudThat PyPI

A comprehensive Model Context Protocol (MCP) server for Jenkins CI/CD integration, enabling AI assistants to interact with Jenkins instances through standardized tools and resources. Built for production environments with enterprise-grade reliability, security, and performance.

Developed by: CloudThat - AWS Premier Tier Services Partner
Author: Saurabh Kumar Jain (skj@cloudthat.com) - CSA - Projects Head, DevOps and Kubernetes
Repository: https://gitlab.cloudthat.com/cloudthat-oss/jenkins_mcp.git
PyPI Package: https://pypi.org/project/cloudthat.jenkins-mcp-server/

🎯 Overview

The Jenkins MCP Server bridges the gap between AI assistants and Jenkins automation servers, providing a standardized interface for:

AI-Driven DevOps: Enable AI assistants to manage Jenkins pipelines, jobs, and builds
Automated CI/CD Operations: Trigger builds, monitor status, and manage deployments through natural language
Infrastructure as Code: Create and manage Jenkins resources programmatically
Intelligent Monitoring: Get insights into build performance, system health, and resource utilization

This project represents CloudThat's innovation in the DevOps and cloud-native ecosystem, leveraging our expertise as an AWS Premier Tier Services Partner with competencies in Migration, DevOps, Data & Analytics, and GenAI.

🚀 Quick Start

# Install from PyPI
pip install cloudthat.jenkins-mcp-server

# Run the server
jenkins-mcp-server --jenkins-url http://your-jenkins.com:8080 \
                   --jenkins-username your-username \
                   --jenkins-token your-api-token

✨ Features

📋 Fully Supported Core Features

✅ Creating pipeline jobs with basic configurations
✅ Creating freestyle jobs
✅ Creating folder jobs
✅ Triggering builds without parameters
✅ Triggering builds with parameters
✅ Retrieving build status and information
✅ Retrieving build logs with real-time streaming
✅ Viewing build queue and monitoring
✅ Getting comprehensive server information
✅ Creating pipelines with parameters
✅ Creating pipelines in folders
✅ Job listing and management
✅ Build analytics and performance metrics

📊 Comprehensive System Information

✅ Detailed version information (core version, LTS status)
✅ Complete plugin inventory with versions and update status
✅ System health indicators (disk space, memory usage, CPU load)
✅ JVM statistics and configuration details
✅ Node details (online status, executors, labels, load statistics)
✅ Security configuration and audit information
✅ Global configuration settings and environment
✅ Master/agent architecture information
✅ System environment variables and tool configurations
✅ Installed tools and their configurations

🔧 Advanced Pipeline Management

✅ Pipeline update functionality to modify existing pipelines
✅ Jenkinsfile validation before deployment
✅ Clone/copy functionality for pipelines with modifications
✅ Server-side validation integration
✅ Multi-branch pipeline support
✅ Pipeline as Code (Jenkinsfile) management

🚀 Build Operations & Analytics

✅ Build abort functionality with graceful termination
✅ Real-time log streaming capabilities
✅ Build status monitoring with progress and stage information
✅ Build performance analytics (success rates, durations, failures)
✅ Bottleneck identification and optimization suggestions
✅ Historical build data analysis and trending

🏥 System Health & Security

✅ Health checks for pipelines (syntax issues, deprecated features)
✅ Credential audit functionality and security scanning
✅ Agent recommendation based on workload analysis
✅ Plugin ecosystem analysis and vulnerability detection
✅ Resource usage monitoring and optimization recommendations
✅ CSRF protection and secure API token handling

⚡ Performance & Reliability

✅ Intelligent Multi-tier Caching - Optimized performance with different TTL values
✅ HTTP Connection Pooling - Efficient resource management
✅ Automatic Retry Logic - Exponential backoff with circuit breaker pattern
✅ Comprehensive Error Handling - Graceful failure recovery
✅ Type Safety - Full Pydantic model validation throughout
✅ Production Logging - Structured logging with sensitive data masking

🏗️ Architecture

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   AI Assistant  │◄──►│ Jenkins MCP      │◄──►│ Jenkins Master  │
│   (Claude, etc) │    │ Server           │    │                 │
└─────────────────┘    └──────────────────┘    └─────────────────┘
                              │                          │
                              │                          ▼
                              ▼                 ┌─────────────────┐
                    ┌──────────────────┐       │ Jenkins Agents  │
                    │ FastMCP Protocol │       │ (Build Nodes)   │
                    │ - Tools          │       └─────────────────┘
                    │ - Resources      │                │
                    │ - Prompts        │                ▼
                    └──────────────────┘       ┌─────────────────┐
                                               │ Build Artifacts │
                                               │ & Deployments   │
                                               └─────────────────┘

📋 Prerequisites

System Requirements

Python: 3.10 or higher
Operating System: Linux, macOS, or Windows
Memory: Minimum 512MB RAM (1GB+ recommended)
Network: HTTP/HTTPS access to Jenkins server

Jenkins Requirements

Jenkins Version: 2.400+ (LTS recommended)
Required Plugins:
- Pipeline Plugin (workflow-aggregator)
- Build Timeout Plugin (build-timeout)
- Timestamper Plugin (timestamper)
- Workspace Cleanup Plugin (ws-cleanup)

Authentication Requirements

Jenkins user account with appropriate permissions
API token (recommended) or username/password
Required Jenkins permissions:
- Overall/Read
- Job/Build, Job/Cancel, Job/Read
- Job/Create, Job/Configure (for job creation)
- View/Read (for accessing views)

Network Requirements

HTTP/HTTPS access to Jenkins server
Port access (default: 8080 for Jenkins)
SSL/TLS certificates (if using HTTPS)

🚀 Installation

Method 1: Using pip (Recommended)

The easiest way to install the Jenkins MCP Server is from PyPI:

# Install from PyPI
pip install cloudthat.jenkins-mcp-server

# Run the server
jenkins-mcp-server --jenkins-url http://your-jenkins.com:8080 \
                   --jenkins-username your-username \
                   --jenkins-token your-api-token

Method 2: Using uvx

You can also use uvx to run without installing:

# Install and run directly from PyPI
uvx cloudthat.jenkins-mcp-server --jenkins-url http://your-jenkins.com:8080 \
                                 --jenkins-username your-username \
                                 --jenkins-token your-api-token

# Install from CloudThat GitLab repository
uvx --from git+https://gitlab.cloudthat.com/cloudthat-oss/jenkins_mcp.git jenkins-mcp-server

# Install from local directory
uvx --from /path/to/jenkins_mcp jenkins-mcp-server

Method 3: From CloudThat GitLab

# Clone the repository
git clone https://gitlab.cloudthat.com/cloudthat-oss/jenkins_mcp.git
cd jenkins_mcp

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install in development mode
pip install -e .

# Or install with all dependencies
pip install -e ".[dev,test]"

Method 4: Using Docker (Production Ready)

# Build the Docker image
docker build -t cloudthat/jenkins-mcp-server .

# Run with Docker
docker run --rm \
  cloudthat/jenkins-mcp-server \
  --jenkins-url http://your-jenkins.com:8080 \
  --jenkins-username your-username \
  --jenkins-token your-api-token

# Run as daemon
docker run -d \
  --name jenkins-mcp-server \
  --restart unless-stopped \
  -e JENKINS_URL=http://your-jenkins.com:8080 \
  -e JENKINS_USERNAME=your-username \
  -e JENKINS_TOKEN=your-api-token \
  cloudthat/jenkins-mcp-server \
  --jenkins-url $JENKINS_URL \
  --jenkins-username $JENKINS_USERNAME \
  --jenkins-token $JENKINS_TOKEN

⚙️ Configuration

Environment Variables

# Required Configuration
JENKINS_URL=http://your-jenkins-server:8080
JENKINS_USERNAME=your-username
JENKINS_TOKEN=your-api-token

# Optional Configuration
JENKINS_TIMEOUT=30                    # Request timeout in seconds

Getting Jenkins API Token

Log into your Jenkins instance
Go to Manage Jenkins → Manage Users
Click on your username → Configure
Under API Token, click Add new Token
Generate and copy the token (store securely)

📖 Usage

Command Line Interface

# Using pip (recommended)
pip install cloudthat.jenkins-mcp-server
jenkins-mcp-server --jenkins-url http://localhost:8080 \
                   --jenkins-username your-username \
                   --jenkins-token your-token

# Using uvx
uvx cloudthat.jenkins-mcp-server --jenkins-url http://localhost:8080 \
                                 --jenkins-username your-username \
                                 --jenkins-token your-token \
                                 --log-level DEBUG \
                                 --timeout 60

# Show help
jenkins-mcp-server --help

# From source (development)
python -m jenkins_mcp_server --jenkins-url http://localhost:8080 \
                             --jenkins-username your-username \
                             --jenkins-token your-token

With AI Assistants

Amazon Q Developer CLI

Add to your MCP configuration:

{
  "mcpServers": {
    "jenkins": {
      "command": "uvx",
      "args": [
        "cloudthat.jenkins-mcp-server",
        "--jenkins-url", "http://your-jenkins.com",
        "--jenkins-username", "your-username", 
        "--jenkins-token", "your-token"
      ]
    }
  }
}

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "jenkins": {
      "command": "uvx",
      "args": ["cloudthat.jenkins-mcp-server"],
      "env": {
        "JENKINS_URL": "http://your-jenkins.com",
        "JENKINS_USERNAME": "your-username",
        "JENKINS_TOKEN": "your-token"
      }
    }
  }
}

Alternative: From Source (Development)

{
  "mcpServers": {
    "jenkins": {
      "command": "python",
      "args": ["-m", "jenkins_mcp_server"],
      "env": {
        "JENKINS_URL": "http://your-jenkins.com",
        "JENKINS_USERNAME": "your-username",
        "JENKINS_TOKEN": "your-token"
      }
    }
  }
}

Available MCP Tools

Tool	Description	Example Usage
`list_jenkins_jobs`	List jobs with filtering	List all jobs in "production" folder
`get_job_details`	Get detailed job information	Get details for "my-pipeline" job
`create_jenkins_job`	Create new jobs	Create a freestyle job with build steps
`trigger_jenkins_build`	Trigger builds with parameters	Trigger build with BRANCH=main
`get_build_status`	Get build status and info	Get status of build #42
`get_build_logs`	Retrieve console logs	Get logs for latest build
`create_jenkins_pipeline`	Create pipeline jobs	Create pipeline with Jenkinsfile
`generate_pipeline_template`	Generate pipeline templates	Generate declarative pipeline template
`validate_pipeline_script`	Validate pipeline syntax	Validate Jenkinsfile before deployment
`manage_jenkins_builds`	Advanced build operations	Abort builds, stream logs, get analytics
`analyze_jenkins_system`	System health analysis	Comprehensive system health and security analysis
`update_jenkins_pipeline`	Update pipeline configurations	Update pipeline script and parameters
`get_jenkins_server_info`	Server status and information	Get Jenkins version and plugins
`get_jenkins_queue`	Build queue status	Check queued builds

Example Interactions

# List all jobs
"Show me all Jenkins jobs"

# Create a new pipeline
"Create a pipeline called 'my-app-pipeline' that builds on push to main branch"

# Trigger a build with parameters
"Trigger a build for 'my-pipeline' with ENVIRONMENT=staging and DEPLOY=true"

# Get build status
"What's the status of the latest build for 'my-app'?"

# Check system health
"Show me Jenkins server information and current queue status"

# Generate a pipeline template
"Generate a declarative pipeline template for a Java application with build, test, and deploy stages"

# Validate pipeline script
"Can you validate this Jenkinsfile for syntax errors?"

# Manage builds
"Abort the currently running build of 'my-pipeline' and show me its logs"

# Analyze system
"Run a comprehensive system analysis and show me any security concerns"

# Stream build logs
"Stream the logs from the current build of 'my-pipeline' in real-time"

# Update pipeline with parameters
"Add a new parameter REGION to the 'my-pipeline' pipeline with default value 'us-west-2'"

📁 Project Structure

jenkins_mcp_server/
├── 📄 README.md                     # This file
├── 📄 CHANGELOG.md                  # Version history
├── 📄 CONTRIBUTING.md               # Contribution guidelines
├── 📄 TESTING.md                    # Testing documentation
├── 📄 LICENSE                       # Proprietary license
├── ⚙️ pyproject.toml                # Project configuration
├── ⚙️ pytest.ini                   # Test configuration
├── 🐳 Dockerfile                    # Docker image definition
├── 📦 jenkins_mcp_server/           # Main package
│   ├── 🐍 __init__.py              # Package initialization
│   ├── 🐍 __main__.py              # CLI entry point
│   ├── 🐍 server.py                # FastMCP server implementation
│   ├── 🐍 models.py                # Pydantic data models
│   ├── 🐍 exceptions.py            # Custom exception classes
│   ├── 📁 handlers/                # Request handlers
│   │   ├── 🐍 base_handler.py      # Base handler with common functionality
│   │   ├── 🐍 system_handler.py    # System information operations
│   │   ├── 🐍 job_handler.py       # Job management operations
│   │   ├── 🐍 build_handler.py     # Build management operations
│   │   └── 🐍 pipeline_handler.py  # Pipeline operations
│   └── 📁 utils/                   # Utility modules
│       ├── 🐍 cache.py             # Intelligent caching system
│       ├── 🐍 connection_pool.py   # HTTP connection pooling
│       ├── 🐍 retry.py             # Retry logic with backoff
│       ├── 🐍 validation.py        # Input validation
│       ├── 🐍 logging_helper.py    # Structured logging
│       ├── 🐍 error_reporting.py   # Error handling utilities
│       ├── 🐍 pipeline_utils.py    # Pipeline-specific utilities
│       └── 🐍 path_utils.py        # Path manipulation utilities
├── 📚 examples/                    # Usage examples and documentation
│   ├── 📄 README.md                # Examples guide and overview
│   ├── 📁 prompts/                 # Natural language prompt examples
│   │   ├── 📄 01_supported_operations.md    # Basic supported operations
│   │   ├── 📄 02_advanced_operations.md     # Advanced Jenkins features
│   │   ├── 📄 03_intelligent_operations.md  # AI-powered operations
│   │   └── 📄 04_complex_scenarios.md       # Enterprise-scale scenarios
│   └── 📁 integrations/            # AI assistant integration examples
│       └── 📄 01_ai_assistant_integration.md # Integration patterns
└── 🧪 tests/                       # Test suite
    ├── 🧪 conftest.py              # Pytest configuration
    ├── 📁 unit/                    # Unit tests
    │   ├── 🧪 test_handlers.py     # Handler tests
    │   ├── 🧪 test_models.py       # Model validation tests
    │   └── 🧪 test_utils.py        # Utility tests
    └── 📁 integration/             # Integration tests
        ├── 🧪 test_server.py       # Server integration tests
        └── 🧪 test_jenkins.py      # Jenkins integration tests

🧪 Testing

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=jenkins_mcp_server --cov-report=html

# Run specific test categories
pytest tests/unit/          # Unit tests only
pytest tests/integration/   # Integration tests only

# Run with verbose output
pytest -v

# Run tests in parallel
pytest -n auto

Test Strategy

Unit Tests: Test individual components in isolation
Integration Tests: Test end-to-end functionality with real Jenkins
Mock Testing: Use mocks for external dependencies
Coverage Target: 90%+ code coverage
Performance Tests: Validate response times and resource usage

Test Configuration

Set test environment variables:

export JENKINS_TEST_URL=http://test-jenkins:8080
export JENKINS_TEST_USERNAME=test-user
export JENKINS_TEST_TOKEN=test-token

🐳 Docker Support

Building Docker Image

# Build the image
docker build -t cloudthat/jenkins-mcp-server .

# Build with specific tag
docker build -t cloudthat/jenkins-mcp-server:v1.0.0 .

Running with Docker

# Run with environment variables
docker run -d \
  --name jenkins-mcp \
  -e JENKINS_URL=http://your-jenkins.com:8080 \
  -e JENKINS_USERNAME=your-username \
  -e JENKINS_TOKEN=your-api-token \
  cloudthat/jenkins-mcp-server \
  --jenkins-url $JENKINS_URL \
  --jenkins-username $JENKINS_USERNAME \
  --jenkins-token $JENKINS_TOKEN

# View logs
docker logs jenkins-mcp

# Stop container
docker stop jenkins-mcp

🔧 Troubleshooting

Common Issues

Connection Issues

# Error: Connection refused
# Solution: Check Jenkins URL and network connectivity
curl -I http://your-jenkins-server:8080

# Error: SSL certificate verification failed
# Solution: Disable SSL verification or add certificate
export JENKINS_VERIFY_SSL=false

Authentication Issues

# Error: 401 Unauthorized
# Solution: Verify username and API token
# Check token permissions in Jenkins user configuration

# Error: 403 Forbidden
# Solution: Ensure user has required Jenkins permissions
# Required: Overall/Read, Job/Build, Job/Read

Performance Issues

# Error: Slow response times
# Solution: Adjust cache settings and connection pool
export JENKINS_CACHE_TTL=600
export JENKINS_CONNECTION_POOL_SIZE=20

Log Locations

Application Logs: ./logs/jenkins-mcp-server.log
Error Logs: ./logs/errors.log
Access Logs: ./logs/access.log

Debug Mode

# Enable debug logging
python -m jenkins_mcp_server --log-level DEBUG

# Enable verbose output
python -m jenkins_mcp_server --verbose

# Enable performance profiling
python -m jenkins_mcp_server --profile

🔒 Security Considerations

Authentication & Authorization

API Tokens: Use Jenkins API tokens instead of passwords
Least Privilege: Grant minimum required permissions
Token Rotation: Regularly rotate API tokens
Secure Storage: Store credentials in environment variables or secure vaults

Required Jenkins Permissions

Overall:
  - Read

Job:
  - Build (for triggering builds)
  - Cancel (for aborting builds)  
  - Configure (for creating/updating jobs)
  - Create (for creating new jobs)
  - Read (for viewing job details)

View:
  - Read (for accessing views)

Agent:
  - Build (if using specific agents)

Network Security

HTTPS: Use HTTPS for Jenkins connections in production
Firewall: Restrict network access to Jenkins server
VPN: Use VPN for remote access to Jenkins
Certificate Validation: Enable SSL certificate verification

Data Protection

Credential Masking: Sensitive data is automatically masked in logs
No Plain Text Storage: Credentials are not stored in plain text
Audit Logging: All operations are logged for audit purposes
Data Encryption: Use encrypted connections (HTTPS/TLS)

Compliance

RBAC: Role-based access control through Jenkins permissions
Audit Trail: Complete audit trail of all operations
Security Scanning: Regular security scans of dependencies
Vulnerability Management: Automated vulnerability detection and reporting

🤝 Contributing

We welcome contributions to this CloudThat project! Please see our Contributing Guidelines for details.

Development Setup

# Fork and clone the repository
git clone https://gitlab.cloudthat.com/cloudthat-oss/jenkins_mcp.git
cd jenkins_mcp

# Create development environment
python -m venv venv
source venv/bin/activate

# Install development dependencies
pip install -e ".[dev,test]"

# Install pre-commit hooks
pre-commit install

# Run tests
pytest

Pull Request Process

Fork the repository on GitLab
Create a feature branch (git checkout -b feature/amazing-feature)
Make your changes with tests
Ensure all tests pass (pytest)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Merge Request on GitLab

Code Standards

Code Style: Follow PEP 8 (enforced by ruff)
Type Hints: Use type hints throughout
Documentation: Update docstrings and documentation
Tests: Add tests for new functionality
Commit Messages: Use conventional commit format

📄 License

This project is proprietary software owned by CloudThat Technologies Pvt. Ltd.

Copyright (c) 2024 CloudThat Technologies Pvt. Ltd.
All rights reserved.

This software is proprietary and confidential. Unauthorized copying, 
distribution, or use of this software, via any medium, is strictly 
prohibited without the express written permission of CloudThat Technologies Pvt. Ltd.

For licensing inquiries, please contact: info@cloudthat.com

🏢 About CloudThat

CloudThat is a seasoned cloud consulting company headquartered in Bengaluru, established in 2012. CloudThat offers end-to-end cloud consulting services spanning cloud strategy, migration, modernization, DevOps, security, data analytics, AI/ML, and managed services.

As an AWS Premier Tier Services Partner, CloudThat has been recognized by AWS for its deep technical acumen and delivery excellence. We possess multiple AWS competencies—including Migration, DevOps, Data & Analytics, and GenAI—which enable us to craft transformative, scalable, and cost-effective cloud-native solutions tailored to diverse industries.

Our Services

Cloud Strategy & Migration: Comprehensive cloud adoption readiness assessments and secure, zero-downtime migration strategies
DevOps & DevSecOps: Automated CI/CD pipelines, infrastructure as code, and integrated compliance
Data & AI/ML: Scalable data lakes, real-time analytics platforms, and GenAI-powered solutions
Security & Governance: AWS Well‑Architected Reviews, continuous compliance automation, and robust policy enforcement
Managed Services: Optimize uptime, cost, and performance with ongoing excellence
Contract Engineering: Boost internal teams with AWS-certified experts

Why CloudThat

CloudThat stands out as a trusted AWS Premier Tier Partner that delivers comprehensive, high-quality cloud consulting—from strategy through implementation to managed operations. Our strong technical foundation, validated by AWS recognition, equips enterprises to modernize with confidence and achieve measurable business outcomes.

Website: https://cloudthat.com
Contact: info@cloudthat.com

🙏 Acknowledgements

Core Dependencies

FastMCP - Modern MCP server framework
python-jenkins - Jenkins API client
Pydantic - Data validation and settings management
httpx - Modern HTTP client
click - Command line interface creation

Development Tools

pytest - Testing framework
ruff - Fast Python linter and formatter
mypy - Static type checker
pre-commit - Git hooks framework

Special Thanks

Jenkins Community - For the amazing CI/CD platform
MCP Protocol Team - For the standardized AI integration protocol
Python Community - For the excellent ecosystem of tools and libraries
AWS - For the comprehensive cloud platform and partnership

Developed with ❤️ by CloudThat - AWS Premier Tier Services Partner

Author: Saurabh Kumar Jain (skj@cloudthat.com) - CSA - Projects Head, DevOps and Kubernetes
Repository: https://gitlab.cloudthat.com/cloudthat-oss/jenkins_mcp.git
Support: For support and inquiries, please contact info@cloudthat.com

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cloudthat.jenkins-mcp-server 1.0.2

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Classifiers

Project description

Jenkins MCP Server

🎯 Overview

🚀 Quick Start

✨ Features

📋 Fully Supported Core Features

📊 Comprehensive System Information

🔧 Advanced Pipeline Management

🚀 Build Operations & Analytics

🏥 System Health & Security

⚡ Performance & Reliability

🏗️ Architecture

📋 Prerequisites

System Requirements

Jenkins Requirements

Authentication Requirements

Network Requirements

🚀 Installation

Method 1: Using pip (Recommended)

Method 2: Using uvx

Method 3: From CloudThat GitLab

Method 4: Using Docker (Production Ready)

⚙️ Configuration

Environment Variables

Getting Jenkins API Token

📖 Usage

Command Line Interface

With AI Assistants

Amazon Q Developer CLI

Claude Desktop

Alternative: From Source (Development)

Available MCP Tools

Example Interactions

📁 Project Structure

🧪 Testing

Running Tests

Test Strategy

Test Configuration

🐳 Docker Support

Building Docker Image

Running with Docker

🔧 Troubleshooting

Common Issues

Connection Issues

Authentication Issues

Performance Issues

Log Locations

Debug Mode

🔒 Security Considerations

Authentication & Authorization

Required Jenkins Permissions

Network Security

Data Protection

Compliance

🤝 Contributing

Development Setup

Pull Request Process

Code Standards

📄 License

🏢 About CloudThat

Our Services

Why CloudThat

🙏 Acknowledgements

Core Dependencies

Development Tools

Special Thanks

Project details

Verified details

Maintainers

Unverified details

Project links

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