An MCP server that provides Google Analytics and Search Console data as tools for AI assistants, enabling natural language queries for web analytics, SEO performance, and site insights.
An MCP server that pulls PageSpeed Insights and Google Search Console data across multiple owned sites, enabling cross-site performance reports and synthesis via Claude.
MCP server for Oracle Database enabling AI assistants to explore schemas, run queries, write data, and monitor sessions via natural language. Features read-only mode by default and uses Oracle Thin mode for zero-install connectivity.
Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
Provides real-time LNP/WLNP (Wireless Local Number Portability) and LRN auditing. Features specialized congestion logic for 2026 global events. Essential for routing agents managing wireless and wireline transit.
Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.
Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.
Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.
Enables AI clients like Claude to triage, investigate, and operate Icinga installations through natural language, integrating with Icinga's REST APIs and providing deep awareness of monitoring plugins and historical performance data.
Enables users to generate and execute InfluxDB queries using natural language commands in Korean. Supports querying metrics like CPU usage, memory status, and system monitoring data through conversational interface.
An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.
A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.