Discover 16 MCPs built for 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.
Transforms Jenkins operations with an AI-powered natural language interface for comprehensive pipeline analysis and optimization.
Fetch and analyze Jenkins build logs, supporting multiple instances and automatic detection from job URLs.
Integrates Cursor IDE with Jenkins CI/CD systems, enabling direct interaction through natural language commands.
Enables AI assistants to directly interact with Jenkins CI/CD systems, offering AI-powered insights, build management, and debugging.
Provides common operation interfaces for Jenkins jobs through a Spring AI-based MCP Server.
Manages Jenkins builds, jobs, artifacts, and queue operations via the Model Context Protocol (MCP) interface.
Facilitates interaction with Jenkins CI/CD servers for managing jobs, builds, and reports.
Optimizes Jenkins interactions for AI coding assistants, providing token-aware formatting, smart log handling, and automated failure triage.
Enables AI tools to interact with and control Jenkins for tasks like job triggering and status retrieval.
Streamline DevOps processes by providing multi-server management, intelligent scenario mapping, and complete CI/CD lifecycle operations for Jenkins.
Integrate Jenkins CI/CD workflows and management directly into AI assistants via the Model Context Protocol.
Integrates Jenkins functionalities with an MCP server.
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