Jenkins Server MCP
A tool for interacting with Jenkins CI/CD servers, requiring environment variables for configuration.
Sponsors
| Website | Description |
|---|---|
| productdirs.com | Free AI SaaS Product Directory & Listing Platform - Submit your AI products and SaaS tools for free exposure and discovery |
| thistools.app | Free AI Tools & SaaS Directory for Developers - Discover and list innovative AI-powered tools and SaaS applications |
| aiimgcombiner.com | Free AI-Powered Image Merging & Combination Tool - Merge and combine multiple images effortlessly with AI technology |
Jenkins Server MCP
A Model Context Protocol (MCP) server that provides tools for interacting with Jenkins CI/CD servers. This server enables AI assistants to check build statuses, trigger builds, and retrieve build logs through a standardized interface.
Installation
- Clone this repository:
git clone https://github.com/hekmon8/jenkins-server-mcp.git cd jenkins-server-mcp
- Install dependencies:
npm install
- Build the project:
npm run build
Configuration
The server requires the following environment variables:
JENKINS_URL: The URL of your Jenkins serverJENKINS_USER: Jenkins username for authenticationJENKINS_TOKEN: Jenkins API token for authentication
Configure these in your MCP settings file:
For Claude Desktop
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.jsonWindows: %APPDATA%/Claude/claude_desktop_config.json
{ "mcpServers": { "jenkins-server": { "command": "node", "args": ["/path/to/jenkins-server-mcp/build/index.js"], "env": { "JENKINS_URL": "https://your-jenkins-server.com", "JENKINS_USER": "your-username", "JENKINS_TOKEN": "your-api-token" } } } }
Tools and Usage
1. Get Build Status
Get the status of a Jenkins build:
// Example usage const result = await mcpClient.useTool("jenkins-server", "get_build_status", { jobPath: "view/xxx_debug", buildNumber: "lastBuild" // Optional, defaults to lastBuild });
Input Schema:
{ "jobPath": "string", // Path to Jenkins job "buildNumber": "string" // Optional, build number or "lastBuild" }
2. Trigger Build
Trigger a new Jenkins build with parameters:
// Example usage const result = await mcpClient.useTool("jenkins-server", "trigger_build", { jobPath: "view/xxx_debug", parameters: { BRANCH: "main", BUILD_TYPE: "debug" } });
Input Schema:
{ "jobPath": "string", // Path to Jenkins job "parameters": { // Build parameters as key-value pairs } }
3. Get Build Log
Retrieve the console output of a Jenkins build:
// Example usage const result = await mcpClient.useTool("jenkins-server", "get_build_log", { jobPath: "view/xxx_debug", buildNumber: "lastBuild" });
Input Schema:
{ "jobPath": "string", // Path to Jenkins job "buildNumber": "string" // Build number or "lastBuild" }
Development
For development with auto-rebuild:
npm run watch
Debugging
Since MCP servers communicate over stdio, you can use the MCP Inspector for debugging:
npm run inspector
This will provide a URL to access debugging tools in your browser.
Thanks
Thanks AIMCP(https://www.aimcp.info).
License
This project is licensed under the MIT License - see the LICENSE file for details.
Serveurs connexes
Scout Monitoring MCP
sponsorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Zen MCP
Orchestrates multiple AI models like Claude and Gemini for enhanced code analysis, problem-solving, and collaborative development.
Sleep MCP Server
Pauses the execution of an agent for a specified duration.
Code Runner MCP
Execute JavaScript and Python code in a secure sandbox. Supports Deno for JS/TS and Pyodide for Python, with configurable permissions.
WebDev MCP
Provides a collection of useful web development tools.
MCP Context Server
Server providing persistent multimodal context storage for LLM agents.
RunwayML + Luma AI
Interact with the RunwayML and Luma AI APIs for video and image generation tasks.
NeoCoder
Enables AI assistants to use a Neo4j knowledge graph for standardized coding workflows, acting as a dynamic instruction manual and project memory.
Unified.to MCP Server
Unified MCP Server is a remote MCP connector for AI agents and vertical AI products that provides access to 22,000+ authorized SaaS tools across 400+ integrations and 24 categories directly inside LLMs.
ThousandEyes MCP Server
ThousandEyes Network Performance Monitoring MCP Server
Atlassian Rovo MCP Server (Streamin HTTP)
https://mcp.atlassian.com/v1/mcp