"Guidelines for Interfacing with Jenkins" matching MCP servers:

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.

Enables managing Jenkins operations like listing jobs, triggering builds, and checking build statuses through a configurable MCP server.

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.

MCP server for managing multiple Jenkins instances via REST API, supporting job/build queries, triggering builds, and logs with optional read-only mode.

Enables interaction with multiple Jenkins instances from a single MCP server, using header-based authentication for multi-tenancy.

Enables AI agents and external systems to programmatically trigger and monitor Jenkins jobs, retrieve build status and logs via MCP standards.

MCP server that triggers Jenkins automation jobs and returns their results, with an action registry, parameter validation, and credential redaction.

Exposes a Jenkins controller's REST API to MCP-compatible clients, enabling job management, build triggering, and log retrieval through natural language.

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.

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.

A production-ready MCP server for Jenkins that enables managing jobs, pipelines, builds, and nodes through natural language, with configurable security and guardrails.

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.

An MCP server for interacting with a Jenkins CI/CD server. Allows you to trigger jobs, check build statuses, and manage your Jenkins instance through MCP.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

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.

A Jenkins MCP server for multi-instance build management, log inspection, failure diagnostics, and optional vector search.

Enables AI assistants to interact with Jenkins CI/CD systems through natural language, providing build management, job monitoring, log analysis, and debugging capabilities.

Enables natural language interfaces for complex Jenkins pipeline operations, including monitoring, analysis, and optimization through AI-powered conversations in VSCode and Cursor.

Enables Jenkins CI/CD integration with job management, pipeline monitoring, artifact handling, and batch operations via MCP.

Enables triggering Jenkins release and patch pipelines through natural language, with support for MCP and web interfaces.