Jenkins Mcp

Name: Jenkins Mcp
Author: WinJayX

@WinJayX

Repository

About Jenkins Mcp

Jenkins MCP Server

#jenkins #devops

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "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": []
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Jenkins Mcp?

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.

How to use Jenkins Mcp?

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.

Key features of Jenkins Mcp

Retrieve Jenkins server information
List and inspect Jenkins jobs
Get recent builds and build summaries
View build details and console output
List and manage Jenkins views
Trigger job builds with optional parameters

Use cases of Jenkins Mcp

An AI assistant queries the status of recent builds for a CI/CD pipeline.
A developer triggers a parameterized Jenkins job directly from a chat interface.
Automating inspection of Jenkins server configuration and job health.
Debugging failed builds by fetching console output without opening the Jenkins UI.
Managing Jenkins views and jobs through natural language commands.

FAQ from Jenkins Mcp

What are the runtime requirements?

Python 3.10 or higher and access to a Jenkins server with API access enabled.

How does authentication work?

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.

How do I install and add the server?

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.