Jenkins
bykud
0Integrate Jenkins CI/CD workflows and management directly into AI assistants via the Model Context Protocol.
About
This tool functions as an MCP (Model Context Protocol) server for Jenkins, providing AI assistants with direct programmatic access to a wide array of Jenkins CI/CD operations. It offers robust coverage of the Jenkins API through over 25 specialized tools, enabling users to effortlessly manage jobs, trigger and stop builds, monitor pipeline stages, review test results, and oversee the entire Jenkins environment using natural language commands. Built on a modern stack with TypeScript, it supports flexible authentication methods and facilitates real-time monitoring for efficient CI/CD workflow management.
Key Features
- Extensive Job Control (enable/disable, trigger, stop, replay builds)
- 25+ Tools for comprehensive Jenkins API coverage
- Native MCP Protocol integration with popular AI platforms
- Flexible Authentication (Bearer tokens, Basic auth, OAuth)
- Real-time Monitoring of build status, queues, and pipeline stages
- 0 GitHub stars
Use Cases
- Managing CI/CD pipelines by triggering, stopping, or replaying builds through natural language.
- Querying Jenkins data such as job statuses, test results, and system information using AI assistants.
- Automating Jenkins tasks and workflows directly from AI-powered development environments.
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