mcp-jenkins and jenkins-mcp-server
The `jenkins-mcp-server` acts as an ecosystem sibling to `mcp-jenkins`, providing the server-side implementation for interacting with a Jenkins instance via the Model Context Protocol, which `mcp-jenkins` then leverages to bridge Jenkins with AI language models.
About mcp-jenkins
lanbaoshen/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.
This project integrates Jenkins, a popular automation server, with AI language models like those from Anthropic. It allows developers to use natural language to interact with their Jenkins instances, securely fetching information about jobs, builds, and nodes, or even triggering actions. It takes natural language queries and Jenkins credentials as input, providing structured Jenkins data or executing commands as output. This tool is for software developers and DevOps engineers who manage continuous integration/continuous delivery (CI/CD) pipelines using Jenkins.
About jenkins-mcp-server
AshwiniGhuge3012/jenkins-mcp-server
An MCP server for interacting with a Jenkins server. Allows you to trigger jobs, check build statuses, and manage your Jenkins instance through MCP.
This project allows AI assistants, like Claude, to interact directly with your Jenkins CI/CD server. It takes commands from the AI assistant to trigger jobs, check build statuses, and retrieve logs or artifacts. This is for DevOps engineers, release managers, or anyone who uses Jenkins and wants to automate their CI/CD workflows using an AI assistant.
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