"A server for information about Jenkins (automation server)" matching MCP servers:

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

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

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.

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.

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

Enables LLMs to access Jenkins job data, trigger builds, and manage Jenkins tasks through a standardized interface.

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

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 interaction with Jenkins servers through HTTP APIs, allowing users to list jobs, trigger builds, view logs, and manage configurations without requiring plugins or admin access.

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

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.

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.

Exposes Jenkins CI/CD capabilities as MCP tools, including job management, builds, pipelines, and Terraform/GCP log inspection.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

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.

MCP server for integrating coding agents (Claude Code CLI, etc.) with the GIMS Automation system. Enables development of automation scripts, data source types, activator types, and Git synchronization.

A Model Context Protocol server that enables AI assistants to interact with iOS simulators, perform accessibility testing, manage apps, and automate complex iOS workflows.