Jenkins MCP Server
An enterprise - level Jenkins MCP server that provides seamless integration with the Jenkins CI/CD system, supporting functions such as job management, build monitoring, pipeline status tracking, and batch operations.
rating : 2.5 points
downloads : 0
What is Jenkins MCP Server?
Jenkins MCP Server is an intelligent connector that allows you to directly manage and monitor the Jenkins CI/CD system through an AI assistant (such as Claude). You can trigger jobs, view build statuses, obtain logs, and analyze pipeline execution without logging in to the Jenkins web interface.How to use Jenkins MCP Server?
Just install and configure it once, and then you can interact with the AI assistant using natural language. For example, say 'List all failed builds' or 'Trigger production environment deployment', and the system will automatically execute the corresponding operations and return the results.Use Cases
It is suitable for scenarios where development teams, operations engineers, and QA testers need to quickly view build statuses, trigger deployments, and analyze failure logs, especially in continuous integration environments that require frequent interaction with Jenkins.Main Features
Job Management
Trigger, list, search, and monitor Jenkins jobs, supporting folder structures and parameterized builds.
Build Monitoring
Track build statuses in real-time, obtain console logs, and monitor the execution of pipeline stages.
Artifact Management
List, search, and download build artifacts, supporting the search for specific files across multiple builds.
Batch Operations
Trigger multiple jobs in parallel, supporting priority queues and concurrency control to improve efficiency.
Performance Caching
An intelligent multi-level caching system with an automatic invalidation mechanism, significantly improving response speed.
Advanced Filtering
Filter jobs by multiple dimensions such as status, result, and time, supporting regular expression searches.
Security Features
CSRF protection, 2FA support, and secure authentication to meet enterprise security requirements.
Cross-Platform Support
Supports Windows, macOS, and Linux systems for flexible deployment.
Advantages
Operate directly through the AI assistant without logging in to the Jenkins web interface
Support natural language interaction, reducing the usage threshold
Batch operations and parallel execution significantly improve efficiency
Intelligent caching reduces repeated requests and improves response speed
Enterprise-level security features supporting various authentication methods
Detailed error handling and retry mechanisms improve reliability
Limitations
Requires pre-configuration of the Jenkins API token
Only provides download links for binary artifacts and does not directly display the content
The concurrency of batch operations is limited by the performance of the Jenkins server
Requires support from the Node.js and Python runtime environments
How to Use
Install the Server
Install globally via npm or run directly using npx
Get the API Token
Generate an API access token in Jenkins: User Settings → API Token → Generate a new token
Configure Environment Variables
Set the Jenkins connection information, which can be placed in the.env file or directly set as environment variables
Integrate into Claude Desktop
Add the MCP server configuration to claude_desktop_config.json
Start Using
Restart Claude Desktop, and now you can interact with Jenkins using natural language
Usage Examples
View Build Status
Quickly view all failed build jobs to facilitate timely problem handling
Trigger Deployment Process
Trigger a complex deployment process in a parameterized manner, passing in parameters such as the version number
Analyze Build Logs
Obtain detailed logs of a specific build for debugging and problem analysis
Batch Operation Management
Trigger multiple related jobs simultaneously, such as each module in a test suite
Frequently Asked Questions
How to get the Jenkins API token?
Which authentication methods are supported?
How to handle connection timeouts or network issues?
Does it support Jenkins pipeline jobs?
How often is the cached data updated?
How to clear the cache?
Related Resources
Official Documentation
Complete installation, configuration, and usage guide
npm Package Page
View the latest version and download statistics
Problem Feedback
Submit bug reports or feature requests
Jenkins Official Documentation
Reference for the official Jenkins system documentation
Model Context Protocol
Official introduction and specification of the MCP protocol

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
 16.2K
 4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
 46.5K
 4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
 24.3K
 5 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
 16.1K
 4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C# 
 20.8K
 5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
 47.6K
 4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
 15.3K
 4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
 67.0K
 4.7 points
