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2025-04-09

The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.

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MCP Jenkins

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The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.

Cursor Demo

cursor demo

Setup Guide

Installation

Choose one of these installation methods:

# Using uv (recommended)
pip install uv
uvx mcp-jenkins

# Using pip
pip install mcp-jenkins

# Using Smithery
npx -y @smithery/cli@latest install @lanbaoshen/mcp-jenkins --client claude

Configuration and Usage

Cursor

  1. Open Cursor Settings
  2. Navigate to MCP
  3. Click + Add new global MCP server

This will create or edit the ~/.cursor/mcp.json file with your MCP server configuration.

{
  "mcpServers": {
    "mcp-jenkins": {
      "command": "uvx",
      "args": [
        "mcp-jenkins",
        "--jenkins-url=xxx",
        "--jenkins-username=xxx",
        "--jenkins-password=xxx"
      ]
    }
  }
}

line arguments

# Stdio Mode
uvx mcp-jenkins --jenkins-url xxx --jenkins-username xxx --jenkins-password xxx

# SSE Mode
uvx mcp-jenkins --jenkins-url xxx --jenkins-username xxx --jenkins-password xxx --transport sse --port 9887

AutoGen

Install and exec

Install autogen:

pip install "autogen-ext[azure,ollama,openai,mcp]" autogen-chat

Run python scripts:

import asyncio

from autogen_ext.tools.mcp import StdioMcpToolAdapter, StdioServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.ui import Console
from autogen_core import CancellationToken


async def main() -> None:
    # Create server params for the remote MCP service
    server_params = StdioServerParams(
        command='uvx',
        args=[
            'mcp-jenkins',
            '--jenkins-username',
            'xxx',
            '--jenkins-password',
            'xxx',
            '--jenkins-url',
            'xxx'
        ],
    )

    # Get the translation tool from the server
    adapter = await StdioMcpToolAdapter.from_server_params(server_params, 'get_all_jobs')

    # Create an agent that can use the translation tool
    agent = AssistantAgent(
        name='jenkins_assistant',
        model_client=[Replace_with_your_model_client],
        tools=[adapter],
    )

    # Let the agent translate some text
    await Console(
        agent.run_stream(task='Get all jobs', cancellation_token=CancellationToken())
    )


if __name__ == "__main__":
    asyncio.run(main())

Available Tools

Tool Description
get_all_jobs Get all jobs
get_job_config Get job config
search_jobs Search job by specific field
get_running_builds Get running builds
get_build_info Get build info
get_job_info Get job info
build_job Build a job with param

Development & Debugging

# Using MCP Inspector
# For installed package
npx @modelcontextprotocol/inspector uvx mcp-jenkins --jenkins-url xxx --jenkins-username xxx --jenkins-password xxx

# For local development version
npx @modelcontextprotocol/inspector uv --directory /path/to/your/mcp-jenkins run mcp-jenkins --jenkins-url xxx --jenkins-username xxx --jenkins-password xxx

UT

# Install Dependency
uv sync --all-extras --dev

# Execute UT
uv run pytest --cov=mcp_jenkins 

License

Licensed under MIT - see LICENSE file. This is not an official Jenkins product.

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    Reviews

    1 (1)
    Avatar
    user_aARhmRPM
    2025-04-16

    As a loyal user of mcp-jenkins, I highly recommend this product by lanbaoshen. It's a robust and efficient tool for continuous integration and delivery, seamlessly integrating into your workflow. The support for various languages and easy setup through the provided URL ensures a smooth start. Kudos to the team! For more details, visit the GitHub page: https://github.com/lanbaoshen/mcp-jenkins.