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

Ask an AI about your Minecraft server and let it run it: players, worlds, stats, and live events. It talks to a Paper, Fabric, or NeoForge server, or a singleplayer world, through the WorldAPI plugin.

An external MCP server for diagnosing Minecraft servers via backup analysis, local runtime, or Docker runtime, offering tools for plugin inspection, log analysis, configuration linting, and performance diagnostics.

A lightweight, self-hosted MCP server that provides a small set of administration tools for a single Minecraft Java Edition server, including whitelist management, broadcasting, kicking, backups, and monitoring, with secure RCON-based operations and audit logging.

Enables diagnosing long AI-agent traces by identifying the most likely root-cause steps, so users can quickly find where an agent run went wrong.

Enables checking and validating disk space usage via a single tool, reporting total, used, and available space with optional free space thresholds.

MCP server for Minecraft modpack diagnostics, enabling mod conflict detection, log/crash analysis, and dependency lookup via Modrinth.

Audits local Claude Code transcripts to show which connected MCP servers are actually used, idle, failing, or awaiting authorization, and recommends which to keep or disconnect.

Read-only MCP server exposing one Muninn Minecraft backend's capabilities via safe, capability-aware tools. Broadly covers server status, CoreProtect lookups, Paper, CMI, and WorldGuard queries.

Provides read-only MCP access to Signal K vessel data for diagnostics, letting clients retrieve allowed self values, discover paths, list plugins, and report capability/security policy without write or control commands.

Provides tools for retrieving Minecraft Java and Bedrock server status via the mcstatus.xyz API. It also includes advanced network diagnostic features such as DNS resolution, GeoIP lookups, and BGP/ASN provider information.

Lets an AI agent check its own Claude and Codex usage limits — used percentages and exact reset times for session and weekly windows — so it can plan long-running work around resets instead of dying mid-task. It reads local, credential-free sources by default, always reports which source answered, and ships a hook that pushes quota state into context automatically.

An MCP server that captures and analyzes function-level profiling data from NetEase Minecraft Bedrock Edition mods via the native Tracy profiler, enabling AI to identify performance hotspots and verify optimizations.

Enables an MCP client such as Claude to inspect a Mac's battery, memory, CPU, GPU, disk, and most energy-hungry apps, and to shut down, restart, sleep, or lock the screen now or on a schedule with a cancellable 60-second grace period.

MCP server for Homebridge that enables AI assistants to control smart home accessories, manage plugins, edit configuration, and monitor the Homebridge server.

MCP server that exposes plugin crash reports from a crash reporting site to Claude, enabling querying and managing crash data via tools like listing frequent crashes, searching, adding comments, and managing plugins.

Enables agents to report and query performance metrics to build a community-driven quality database for MCP tools. This server helps agents discover and select the most reliable tools based on success rates and user-reported quality scores.

MCP server that reads Spark profiler files to give accurate Minecraft server tuning advice, parsing binary protobuf directly and diagnosing TPS, MSPT, GC, heap, and call-tree issues.

Enables querying Munin RRD time-series data through natural language, with tools to discover hosts/plugins, fetch raw or aggregated metrics, and render graphs.

Connects AI assistants to OpenTelemetry trace backends such as Jaeger, Tempo, Traceloop, and Datadog, enabling natural-language searching of traces and spans, error discovery, and service listing. It also provides LLM-specific analytics, including token usage aggregation, model performance comparison, and identification of the most expensive or slowest traces.

Enables AI assistants to query six Google services used by an online shop—GA4, Search Console, Merchant Center, Tag Manager, Indexing API, and PageSpeed—through read-only tools, answering questions about organic traffic, product disapprovals, indexing, tag configuration, and site performance.