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    The Model Context Protocol (MCP) Jenkins integration 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.
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    140
    MIT
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    Enables managing Jenkins operations like listing jobs, triggering builds, and checking build statuses through a configurable MCP server.
    3
    10
    Apache 2.0
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    MCP server for Jenkins (with optional GitLab integration) that lets AI assistants list jobs, trigger and track deployments, fetch build logs, and verify whether tickets are deployed, without touching the Jenkins UI.
    MIT
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    MCP server that triggers Jenkins automation jobs and returns their results, with an action registry, parameter validation, and credential redaction.
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    A multi-Jenkins server management and automation tool that enables intelligent scenario mapping, multi-server management, and complete CI/CD lifecycle operations through natural language interactions.
    11
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    A comprehensive MCP server with 53 tools for managing Jenkins CI/CD operations, including job, build, pipeline, node, credential, and plugin management, enabling AI assistants to control Jenkins servers through natural language.
    53
    MIT
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    A production-ready MCP server for Jenkins that enables managing jobs, pipelines, builds, and nodes through natural language, with configurable security and guardrails.
    1
    MIT
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    Enterprise-grade MCP server for Jenkins CI/CD integration that enables AI assistants to diagnose build failures, analyze pipelines, and search logs through natural conversation.
    6
    GPL 3.0
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    Provides Jenkins CI/CD integration for AI assistants through the Model Context Protocol, enabling job management, build control, and system administration via natural language commands.
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    MIT
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    Enables AI assistants to interact with Jenkins CI/CD systems through natural language, providing build management, job monitoring, log analysis, and debugging capabilities.
    MIT