Enables AI assistants to run real Exchange Management Shell tasks against on-premise Microsoft Exchange for administration, monitoring, and troubleshooting, including recipient provisioning, transport troubleshooting, and DAG/health monitoring.
Real-time crypto volume anomaly detection across 50+ tokens. Provides market scanning, signal analysis, and portfolio management capabilities via MCP protocol.
MCP server that exposes Cleanuparr's REST API for inspecting status, history, statistics, jobs, and configuration, enabling natural language interaction with Cleanuparr.
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.
MCP server exposing Dashbrr's REST API as tools, so an LLM can read and manage a dashbrr instance: configured services, per-service health, and summary panels for many apps. Write tools cover settings management, download-queue deletes, Overseerr approvals, UI preferences, and the Plex auth PIN flow.
MCP server exposing Profilarr's v1 REST API as tools, enabling an LLM to inspect and manage linked databases, connected Radarr/Sonarr instances, backups, jobs, announcements, and system status.
MCP server for Homebridge that enables AI assistants to control smart home accessories, manage plugins, edit configuration, and monitor the Homebridge server.
A Model Context Protocol server that retrieves and analyzes Sentry.io issues, allowing users to inspect error reports, stacktraces, and debugging information from their Sentry account.
Exposes the Sonarr v3 REST API as MCP tools, enabling LLMs to read and manage a Sonarr instance including series, episodes, downloads, history, and more. Supports both read and write operations, with destructive tools flagged.
MCP server that exposes qui's JSON REST API as tools for monitoring and managing qBittorrent instances, torrents, automations, cross-seeding, RSS, backups, and related services.
MCP server that interfaces with the Adjust API, allowing you to query mobile analytics reports, metrics, and performance data using natural language from any MCP client like Cursor or Claude Desktop.
Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
A comprehensive, AI-powered performance analysis and monitoring platform for OpenShift/Kubernetes clusters. This project provides Model Context Protocol (MCP) servers for analyzing etcd, network, and OVN-Kubernetes components with deep performance insights, automated root cause analysis, and actionable recommendations.
MCP server for the Production Master incident-investigation service, enabling any MCP client to drive investigations via tool calls with pass-through authentication.