A
licenseB
qualityC
maintenanceA Model Context Protocol server that enables AI assistants to interact with Jenkins CI/CD servers, providing tools to check build statuses, trigger builds, and retrieve build logs.
3
15
MIT
MCP Jenkins Server
by WinJayX
MCP Jenkins 服务器
提供 Jenkins 集成工具的模型上下文协议 (MCP) 服务器。
特征
获取 Jenkins 服务器信息
列出并检查 Jenkins 作业
获取最近的构建及其摘要
获取构建信息和控制台输出
管理 Jenkins 视图
使用参数触发作业构建
Related MCP server: Jenkins MCP Server
要求
Python 3.10+
具有 API 访问权限的 Jenkins 服务器
用于身份验证的 Jenkins API 令牌
安装
克隆此存储库
安装依赖项：
pip install -r requirements.txt
配置
使用您的 Jenkins 凭证创建一个.env文件：
JENKINS_URL=https://your-jenkins-server
JENKINS_USER=your-username
JENKINS_TOKEN=your-api-tokenCLI 配置
要将此 MCP 服务器添加到您的 CLI，请使用以下配置：将“Support/Claude/claude_desktop_config.json”文件内容更改为：
{
"mcpServers": {
"mcp-jenkins-server": {
"command": "/Users/username/.local/bin/uv -> //uv full path",
"args": [
"--directory",
"/Users/username/Desktop/mcp-jenkins-server -> //project path ",
"run",
"server.py"
],
"env": {
"JENKINS_URL": "http://localhost:8080",
"JENKINS_USERNAME": "xx",
"JENKINS_PASSWORD": "xx"
},
"disabled": false,
"autoApprove": []
}
}
}可用工具
该 MCP 服务器提供以下工具：
get_jenkins_info
获取 Jenkins 服务器信息
list_jobs
列出所有 Jenkins 作业
get_job_info
获取有关特定作业的信息
参数：
job_name：要检查的作业的名称
get_last_builds
获取某项工作的最新构建摘要
参数：
job_name：作业的名称count（可选）：要检索的最近构建的数量（默认值：3）
get_build_info
获取有关特定构建的详细信息
参数：
job_name：作业的名称build_number：要检查的版本号
get_build_console_output
获取特定构建的控制台输出
参数：
job_name：作业的名称build_number：要检查的版本号
get_views
列出所有 Jenkins 视图
trigger_job_build
使用可选参数触发 Jenkins 作业构建
参数：
job_name：作业的名称parameters（可选）：传递给作业的参数字典
演示视频：
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
Related MCP Connectors
The Buildkite MCP server exposes Buildkite product data (pipelines, builds, jobs, and test data) to AI tools, editors, and agents through the Model Context Protocol. It provides capabilities including pipeline creation and management, build monitoring with specialized tools like 'wait_for_build', efficient log querying using Apache Parquet conversion and caching, and OAuth-based authentication for both read-write and read-only access to Buildkite's REST API.
MCP Server for JFrog, providing tools for development and artifact management.
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
Agentic CI operations for build inspection, failure diagnosis, and runner troubleshooting.
Related MCP Servers
- AlicenseNot gradedqualityNot gradedmaintenanceA Model Context Protocol (MCP) server that enables AI tools like chatbots to interact with and control Jenkins, allowing users to trigger jobs, check build statuses, and perform other Jenkins operations through natural language.MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server for interacting with a Jenkins CI/CD server. Allows you to trigger jobs, check build statuses, and manage your Jenkins instance through MCP.21 npm14Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables interaction with Jenkins instances to manage jobs, builds, and nodes through the Model Context Protocol. It provides capabilities to trigger builds, read console outputs, and search log sections using regular expressions.512 npmMIT