Jenkins Servidores MCP

Descubre 11 MCPs desarrollados para Jenkins.

Bridges Jenkins with AI language models, enabling secure and contextual interactions.

Enables AI assistants to interact with Jenkins CI/CD servers via a Model Context Protocol (MCP) interface.

Manages Jenkins operations, enabling job listing, build triggering, and build status checks.

Provides a robust interface to manage Jenkins CI/CD servers, enabling job triggering, build status checks, and detailed instance monitoring.

Enables AI tools to interact with and control Jenkins for tasks like job triggering and status retrieval.

Enables AI assistants to directly interact with Jenkins CI/CD systems, offering AI-powered insights, build management, and debugging.

Integrates the Model Context Protocol (MCP) with Jenkins to enhance CI/CD workflows through intelligent automation.

Provides common operation interfaces for Jenkins jobs through a Spring AI-based MCP Server.

Streamline DevOps processes by providing multi-server management, intelligent scenario mapping, and complete CI/CD lifecycle operations for Jenkins.

Integrates Cursor IDE with Jenkins CI/CD systems, enabling direct interaction through natural language commands.

Manages Jenkins builds, jobs, artifacts, and queue operations via the Model Context Protocol (MCP) interface.

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