"Equipment or items used in windsurfing" matching MCP servers:

An AI agent system that monitors manufacturing equipment health using the Model Context Protocol (MCP). Enables answering natural language questions about equipment status, maintenance, and anomalies through MCP tools.

Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.

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

Bridges Claude (or any MCP client) to manufacturing data via the i3X standard, enabling natural language queries about equipment status, hierarchy, and historical trends.

Enables read-only access to LCM2M Caddis VM2M API for equipment, runs, telemetry, alarms, etc., via MCP tools.

Enables management and monitoring of farm operations including field and crop tracking, livestock monitoring, equipment management, and sensor readings through a Model Context Protocol interface built with FastMCP.

Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database. Built using the Model Context Protocol (MCP), this system is designed to be used with Claude Desktop or other MCP-compatible clients.

Enables exploration of manufacturing equipment data and analysis of failure risk, supporting monitoring, failure classification, and anomaly detection through natural language.

AI-powered industrial fault diagnosis MCP server with 8 tools for diagnosing equipment faults, searching parts, decoding VINs, and managing equipment profiles. Covers 313+ fault codes for Allen-Bradley, Siemens, ABB, Mitsubishi, and Fanuc PLCs.

An open-source MCP server that bridges AI models with industrial equipment, supporting multiple protocols like Modbus, OPC UA, and MQTT for reading data and controlling machines.

Enables ChatGPT to list, create, update, pause, resume, and delete monitoring items in Signal Desk via OAuth-protected MCP tools, with support for periodic execution and Web Push notifications.

Automates three core workflows for Sangfor Engineer: project all-in-one (Excel to guide to validation to report), equipment health check, and Obsidian wiki integration.

Enables AI assistants to monitor and interact with industrial systems, providing real-time system health monitoring, operational data analytics, and equipment maintenance tracking. Built with Next.js and designed for industrial automation environments.

🔌 Complete MCP server for Zabbix integration - Connect AI assistants to Zabbix monitoring with 40+ tools for hosts, items, triggers, templates, problems, and more. Features read-only mode and comprehensive API coverage.

Laravel Telescope-style debugging for Hono apps whose dashboard endpoint is also an MCP server: read recent exceptions with the request that produced them, recent requests filtered by status or duration, one request in full, and the slowest queries. Five read-only tools, zero runtime dependencies.

MCP server for analyzing Perfetto traces with LLMs — query .pftrace files in PerfettoSQL via Claude Code or any MCP client

Enables AI agents to check the health of internet infrastructure and specific services, helping diagnose whether issues are local or external.

Enables AI assistants to manage remote servers via SSH with 14 commands for execution, file transfer, auditing, and monitoring.

MCP server exposing Tracearr's Public API v2 as read-only tools to query Plex, Jellyfin, and Emby monitoring data such as watch history, active streams, media, users, libraries, and recently added items.

A secure, read-only MCP server for Microsoft SQL Server with built-in performance monitoring and lock detection.