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Jenkins MCP Server

A Jenkins MCP server that provides a standardized interface for large language models, supporting access to Jenkins data and execution of related operations.
2.5 points
19

What is the Jenkins MCP Server?

The Jenkins MCP Server is an intermediate service that provides a standardized interface for large language models (LLMs) to access and operate data in the Jenkins continuous integration system. Through this service, AI assistants can query the status of Jenkins tasks, view build histories, and even trigger new build tasks.

How to use the Jenkins MCP Server?

You need to configure the connection information of the Jenkins instance first, and then start the MCP service. After that, the AI assistant can interact with Jenkins through the standardized interface.

Applicable scenarios

Suitable for scenarios where AI assistants are required to participate in CI/CD process management, such as automatically querying build status, intelligently triggering builds, and analyzing build histories.

Main features

Jenkins data accessProvide a standardized interface to access Jenkins task configurations, build histories, and status information
Jenkins operation toolsSupport Jenkins operations such as triggering builds and updating task configurations
Pre - defined interaction templatesBuilt - in interaction templates for common Jenkins operations to simplify the development of AI assistants

Advantages and limitations

Advantages
The standardized interface simplifies the integration of AI and Jenkins
Pre - set templates accelerate the development process
Safely isolate the direct interaction between the AI system and Jenkins
Limitations
Requires additional service deployment
Currently only supports basic Jenkins operations
Performance depends on the response speed of the Jenkins API

How to use

Installation preparation
Ensure that Python 3.8+ is installed and you have the access permission to the Jenkins instance
Environment configuration
Create a.env file to set the Jenkins connection information
Start the service
Use the uv tool to run the MCP server

Usage examples

Query build statusLet the AI assistant query the latest build status of a specified Jenkins task
Trigger a new buildTrigger the build of a Jenkins task through an AI instruction

Frequently Asked Questions

What kind of Jenkins permissions are required?
How does the service ensure security?
Which Jenkins versions are supported?

Related resources

Jenkins official documentation
Documentation for Jenkins usage and API reference
Python Jenkins client library
Documentation for the Python Jenkins client library used in this project
MCP protocol specification
The official specification of the Model Context Protocol
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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