jenkins-slack-mcp
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- AlicenseBqualityDmaintenanceEnables AI assistants to interact with Jenkins CI/CD servers, including checking build status, triggering builds, and retrieving build logs.8MIT
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- 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
- FlicenseNot gradedqualityDmaintenanceEnables interaction with Jenkins CI jobs, including triggering and stopping builds, retrieving job details, and fetching build logs.-
- 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
- FlicenseNot gradedqualityDmaintenanceEnables AI agents and external systems to programmatically trigger and monitor Jenkins jobs, retrieve build status and logs via MCP standards.-
TDQS
Scored across 13 tools
Most tools have clear, distinct purposes (trigger, list, stop, status, console, history). The only minor overlap is between 'status' and 'whoami', which both reveal login state but differ in detail (login check vs. user information).
Tool names follow a consistent snake_case verb_noun pattern (e.g., trigger_build, list_jobs, stop_build). Even the bare verbs (status, whoami, logout) are standard, predictable names for their actions.
13 tools is well within the ideal range for a Jenkins+Slack integration. Each tool covers a distinct aspect of the workflow—authentication, job discovery, build control, and monitoring—without unnecessary bloat.
The tool surface covers the full lifecycle for this domain: login/logout, job listing/details, triggering and stopping builds, status checks, console output, and history. The Slack integration is minimal but purposeful (DM on trigger), and no critical operations are missing.