
MCP-Jenkins
模型上下文协议(MCP)是一个开源实现,在人类的MCP规范之后,将Jenkins与AI语言模型桥接。该项目可以在维护数据隐私和安全性的同时,可以与Jenkins工具进行安全的上下文AI交互。
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MCP Jenkins
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
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
- Open Cursor Settings
- Navigate to MCP
- 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

user_aARhmRPM
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.