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  • A
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    MCP server that connects AI agents to Jenkins, supporting stdio and HTTP transports with tools for jobs, builds, logs, and queue management.
    9
    191
    MIT
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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.
    17
    MIT
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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.
    11
    37
    MIT
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    Enables managing Jenkins operations like listing jobs, triggering builds, and checking build statuses through a configurable MCP server.
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    10
    Apache 2.0
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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.
    35
    147
    MIT
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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.
    22
    792
    1
    MIT
  • A
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    Provides read-only access to Jenkins, enabling users to inspect project and environment build status, list builds, retrieve console logs and test reports, diagnose failed builds, and search jobs via natural language, without triggering or changing builds.
    792
    MIT
  • A
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    MCP server for managing multiple Jenkins instances via REST API, supporting job/build queries, triggering builds, and logs with optional read-only mode.
    MIT
  • F
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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 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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    maintenance
    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.
    191
    1
    MIT
  • F
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    Jenkins HOT/QAT deployment assistant MCP server that enables agents to locate jobs, check branches, perform safe deployments with overwrite protection, and rollback deployments via natural language.
    3
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  • F
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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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