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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.
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    11
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    A server that enables interaction with Jenkins CI/CD pipelines from any compatible MCP client (like Claude Desktop), allowing users to manage jobs, builds, coverage reports, and other Jenkins functionality through natural language.
    Last updated
    11
    38
    MIT
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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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    130
    MIT
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    Enables managing Jenkins operations like listing jobs, triggering builds, and checking build statuses through a configurable MCP server.
    Last updated
    3
    10
    Apache 2.0
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    Provides AI assistants with full access to Jenkins CI/CD systems, enabling querying, managing, and controlling Jenkins jobs, builds, nodes, and queues through natural language.
    Last updated
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    412
    1
    MIT
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    Enables interaction with Jenkins instances to manage jobs, builds, and nodes through the Model Context Protocol. It provides capabilities to trigger builds, read console outputs, and search log sections using regular expressions.
    Last updated
    412
    MIT
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    Enables comprehensive Jenkins automation through MCP interface, allowing users to manage builds, jobs, artifacts, and queues with natural language commands. Supports build triggering, monitoring, artifact retrieval, and system status checks with automatic CSRF protection and authentication.
    Last updated
    14
    80
    MIT
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    A Model Context Protocol server that enables AI assistants to interact with Jenkins CI/CD servers, providing tools to check build statuses, trigger builds, and retrieve build logs.
    Last updated
    3
    15
    MIT
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    Enables AI coding tools to interact with Jenkins CI instances behind Cloudflare Access, supporting job inspection, build logs, test results, and artifact retrieval.
    Last updated
    80
    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.
    Last updated
    5
    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.
    Last updated
    1
    MIT
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    Enables interaction with Jenkins to manage jobs, trigger builds with parameters, and monitor build queues. It provides comprehensive access to build histories, console logs, and organizational folder structures via the Jenkins REST API.
    Last updated
    80
    1
    MIT