What are the runtime requirements?
Python 3.10 or higher and access to a Jenkins server with API access enabled.
@WinJayX
基本信息
Jenkins MCP Server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"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": []
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Jenkins Mcp is a Model Context Protocol (MCP) server that provides Jenkins integration tools. It allows AI assistants to interact with a Jenkins server – retrieving job information, build details, console output, views, and triggering builds – using Jenkins API authentication.
Install dependencies with pip install -r requirements.txt, then configure credentials in a .env file (JENKINS_URL, JENKINS_USER, JENKINS_TOKEN) or via environment variables in the MCP client configuration. Add the server to your MCP client (e.g., Claude Desktop) by editing claude_desktop_config.json with the command and environment variables. Once connected, any MCP‑compatible assistant can call the exposed tools by name.
Python 3.10 or higher and access to a Jenkins server with API access enabled.
The server uses a Jenkins API token for authentication. Credentials are set via a `.env` file (`JENKINS_USER`, `JENKINS_TOKEN`) or environment variables in the MCP client configuration.
Clone the repository, run `pip install -r requirements.txt`, then add the server to your MCP client by providing the uv command, project directory, and environment variables in the client’s config JSON.
Yes. The `trigger_job_build` tool accepts an optional `parameters` dictionary to pass to the Jenkins job.
No data is stored locally beyond the configuration files (`.env`). All operations are performed live against the configured Jenkins server.
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Model Context Protocol Servers

A free remote MCP server for The Living Bread. Bible passages read word for word from a stored public domain text with an evidence label, keyword search and cross references, real churches, gatherings and prayer groups w

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

Model Context Protocol Servers
评论