Jenkins MCP Tool
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Alternatives to Jenkins MCP Tool
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Related Servers
- FlicenseNot gradedqualityDmaintenanceAn integration tool that allows interaction with Jenkins CI/CD servers through a Model Context Protocol interface, enabling users to view server info, manage jobs, inspect builds, and trigger builds with parameters.1-
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Jenkins CI/CD systems through natural language, providing build management, job monitoring, log analysis, and debugging capabilities.MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Jenkins CI/CD systems for build management, job monitoring, console log analysis, and debugging through natural language commands.2MIT
- AlicenseBqualityCmaintenanceA 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.53MIT
- AlicenseNot gradedqualityNot gradedmaintenanceA Model Context Protocol (MCP) server that enables AI tools like chatbots to interact with and control Jenkins, allowing users to trigger jobs, check build statuses, and perform other Jenkins operations through natural language.MIT
- AlicenseNot gradedqualityDmaintenanceEnterprise-grade MCP server for Jenkins CI/CD integration that enables AI assistants to diagnose build failures, analyze pipelines, and search logs through natural conversation.6GPL 3.0
TDQS
Scored across 11 tools
Most tools have distinct purposes, but some potential overlap exists. For example, search_jobs and search_jobs_by_scenario both search for jobs, though the latter is scenario-specific. Additionally, get_build_log and get_build_status both retrieve build information, but their distinct focuses (log vs. status) help differentiate them. Overall, the tools are well-separated with clear boundaries.
The naming follows a consistent snake_case pattern with clear verb_noun structures, such as get_build_log and trigger_build. However, there are minor deviations like create_or_update_job_from_jenkinsfile, which is more verbose and includes a preposition, and validate_jenkins_config, which uses a noun_verb_noun pattern. These inconsistencies are minor and do not significantly hinder readability.
With 11 tools, the count is well-suited for a Jenkins MCP server. It covers essential operations like job management (create/update, search), build control (trigger, stop, get status/log), and configuration (validate, get parameters). The tools are focused and each serves a clear purpose without being overly broad or sparse.
The toolset provides strong coverage for core Jenkins workflows, including job creation, building, monitoring, and searching. However, there are minor gaps, such as the lack of tools for deleting jobs or managing Jenkins plugins/users. The inclusion of scenario-based deployment tools adds a layer of abstraction that enhances usability but doesn't fill all potential gaps in the Jenkins API surface.