"Most Used Minecraft Plugins (MCP)" matching MCP servers:

Enables AI assistants to manage O2Switch hosting accounts, including deploying sites, managing subdomains, SSL certificates, WordPress, email, cron jobs, and more, with human confirmation for sensitive actions.

Enables AI coding agents to check repository deploy readiness, deploy apps to your own cloud (AWS, Google Cloud, Azure, DigitalOcean), and migrate apps from platforms like Heroku, Railway, Render, or Vercel with rollback.

Lets MCP clients such as Claude or ChatGPT find the pull requests waiting on your review, read their details and changed files, check CI status, post comments, and submit approve, request-changes, or comment reviews. It runs locally over stdio with a personal token or as a remote server with its own OAuth 2.1 authorization server (PKCE, dynamic client registration, per-client consent, and refresh-token rotation) so GitHub is only used to sign the user in.

A git-native merge gate. mergelock check compares two branches before they meet and reports the conflicts git itself won't tell you about: a function whose signature changed on one branch while the other branch added calls to the old signature, a symbol deleted on one side but still used on the other, the same function written twice.

The most comprehensive Azure DevOps MCP server & CLI — 13 tools, 82 actions, single Go binary.

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.

An MCP server that complements Epic's official Unreal Engine MCP server with 78 additional tools across 14 subsystems for build/cook/package, cinematics, Niagara, automation testing, source control, profiling, World Partition, and project maintenance, using Unreal's built-in Python and Remote Control plugins.

Maestro is the simplest and most effective UI testing framework for Mobile and Web. Maestro MCP allows you to control emulators, interact with apps, write and automatically debug UI tests on Claude Code, Cursor or Windsurf.

Provides a deterministic pre-install security scan for Agent skills, plugins, and MCP servers via stdio, returning verdicts, audited badges, CI gates, and reports without executing code or making network calls.

Enables AI assistants to inspect and operate a Jenkins instance — discovering jobs, views, nodes, and plugins; reviewing build chains, parameters, last-build status, console output, test reports, and artifacts; and triggering builds, stopping runs, or answering pipeline inputs. It connects over stdio, SSE, or streamable HTTP with optional credentials, read-only mode, and a credential-free health endpoint.

Scans MCP servers, AI agent skills, and plugins for 68+ malicious patterns including credential exfiltration, prompt injection, and code execution.

Gives AI agents full access to IntelliJ IDE by running terminal commands, triggering builds, pushing notifications, and querying project context through a single MCP server with specialized plugins.

Once configured, you can use natural language commands like: "Search for failed builds in the last week" "Why last deploy was failed" "Search the most failed builds" "Trigger a build for the main branch" "Show me recent builds for project X" "Pin the latest successful build" "Cancel the running bui

Enables AI language models to securely interact with Jenkins through the Model Context Protocol, exposing tools for querying and managing jobs, builds, nodes, queues, views, plugins, artifacts, and Groovy scripts.

Enables AI assistants to securely interact with Jenkins through the Model Context Protocol, allowing inspection and management of jobs, builds, nodes, queues, plugins, artifacts, and pipelines.

Enables secure, contextual AI interactions with Jenkins tools, allowing users to query items, manage builds, inspect nodes, views, and plugins, run Groovy scripts, and more through natural language while maintaining data privacy and security.

Bridges Jenkins with AI language models so users can inspect and control their CI server through natural language, including jobs, nodes, queues, builds, artifacts, views, plugins, and pipelines. Supports anonymous or authenticated access, read-only mode, and Groovy script execution.

Enables AI language models to securely interact with Jenkins through the Model Context Protocol, exposing tools to inspect and manage jobs, nodes, queues, builds, views, plugins, and artifacts, and to execute Groovy scripts.

Enables AI assistants to interact with Jenkins servers through the Jenkins API, allowing them to browse items, nodes, views and plugins, inspect and control builds and queue items, retrieve artifacts, test reports and console output, submit pipeline inputs, and run Groovy scripts. Supports authenticated or anonymous access over stdio, SSE, and streamable-http transports with an optional read-only mode.

Enables secure, contextual AI interactions with Jenkins by exposing tools for jobs, builds, nodes, queues, views, plugins, and Groovy scripts through the Model Context Protocol.