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 LLMs with network intelligence capabilities including PTR record lookups, ASN analysis, traceroute enrichment, and real-time network monitoring through The Aleph API.
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.
An MCP-powered AI platform for satellite mission control, enabling space weather analysis, orbital collision detection, satellite health monitoring, and secure command validation through natural language.
Real-time world state and independent API quality ratings (0-100) for AI trading agents. Exchange status, volatility (VIX/VVIX/SKEW), economic events, and data source reliability — 8 tools.
Enables an AI agent to check whether a site is healthy and configured correctly by reading TLS certificates and classifying handshake failures, resolving DNS records from raw wire packets, tracing HTTP redirects and timings, and grading security headers with exact fixes. Every connection passes through an SSRF guard that vets and pins addresses so the agent cannot be aimed at internal networks.
Enables an AI agent to analyze browser HAR exports, break down request timing, identify dominant phases and critical request chains, render ASCII waterfalls, and safely redact secrets before analysis.
Read-only MCP server that surfaces UniFi network data from a UCG-Fiber console to Claude, enabling monitoring of hosts, sites, devices, clients, ISP metrics, and device stats via read-only API tools.
A production-grade Model Context Protocol server that enables secure management of context data through a React dashboard, supporting ZIP processing, context approval workflows, and system monitoring.
Exposes 90 production-grade tools for interacting with the complete HPE Aruba Networking Central REST API surface, including network inventory, configuration, and security management. It features enterprise-ready OAuth2 handling and semantic tool filtering for optimized performance with both hosted and local LLMs.
A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.
Enables LLM clients to interact with OpenSearch Dashboards, including reading saved objects, listing tenants and index patterns, and querying logs through the Dashboards API.
Enables automation of Google Search Console tasks, including retrieving search analytics, managing sitemaps and site properties, and inspecting URLs for index status and crawl information.
Exposes Windows system information and control tools including hardware stats, network details, and process monitoring. It enables AI applications to retrieve real-time data about CPU, memory, drives, and active system processes.
Connects Claude to Google Search Console, GA4, Bing Webmaster Tools, IndexNow, PageSpeed Insights, AdSense and Google Ads Keyword Planner, plus live technical SEO audits of pages and sitemaps. Users ask plain-language questions about traffic drops, index status, canonicals, AI referral traffic and keyword volumes, and answers are pulled live from the APIs in real time.
An MCP server that allows users to check if a website is experiencing downtime by querying isitdownrightnow.com, providing status information and details about recent downtime events.
A Model Context Protocol server that provides AI agents with controlled read access to Datalust Seq instances for log analysis and monitoring. It enables agents to search events, execute data queries, and retrieve information about signals, dashboards, and alerts.
Provides AI agents with honest benchmark rankings (Agentic Memory Index and Agentic Search Index) for AI tools, plus graded checks and telemetry for x402 endpoints.
Self-hosted web analytics platform that exposes analytics data via the Model Context Protocol, enabling natural language queries about traffic, page views, web vitals, and custom events.
Read-only PostgreSQL ops/DBA server for the Model Context Protocol, providing diagnostics like slow queries, index health, lock waits, replication lag, and configuration tuning advice.
Enables AI assistants to search, manage, and analyze data in Splunk instances through the Model Context Protocol. Supports SPL queries, index management, alerts, dashboards, and more.
Provides read-only access to query and retrieve information about devices, fleets, events, and configurations managed by Flight Control through a safe integration layer supporting filtering and selector-based queries.
Enables agents to discover, resolve, verify, and monitor AI agents and MCP servers from the Wellknown live index, including observed liveness, reliability, and ownership claims.
Enables integration with Datadog APIs to monitor and retrieve information about monitors, metrics, dashboards, logs, events, and incidents through the Model Context Protocol.
Provides AI agents with context for integrating Arcjet security features like bot detection and rate limiting into applications. It enables users to retrieve information about processed requests, teams, and sites through the Model Context Protocol.
Enables AI assistants to query and fetch error and performance monitoring data from AppSignal through the Model Context Protocol. Supports searching and retrieving detailed information about application errors and performance samples with flexible filtering options.
Enables comprehensive system monitoring and diagnostics through 18 tools that provide detailed information about CPU, memory, disk usage, network interfaces, running processes, battery status, hardware details, and temperature monitoring. Allows users to query system information and performance metrics through natural language interactions.
An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.
Web analytics and AI session replay for agents: visitors, breakdowns, funnels, goals, revenue attribution, and AI-found site issues. Connects to the hosted Flowsery MCP server.
MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana
Console proxy when no direct ES URL is configured. Supports ApiKey auth (best for agents), Basic auth, and anonymous access. All 5 tools are read-only (readOnlyHint: true). Returns
structured JSON (outputSchema).
A read-only MCP server that reports BI pipeline readiness, blockers, and the next allowed action for governed Power BI workflows. It never writes files, executes warehouse work, or grants human approvals.
Relays error logs from other MCP servers when an LLM call fails and the returned error message is unclear, helping the model handle errors more intelligently.
A read-only kubectl MCP server for AI assistants. The kubectl verb is hardcoded in each tool
(get/describe/logs/events) and user input only fills argument values — no mutation path even with
malicious input, and Secret/ConfigMap values are never returned (metadata only). Returns structured
JSON, plus one-shot k8s_triage (health scan) and k8s_inventory (cluster snapshot).
Provides Claude with read-only access to PC diagnostics including hardware specs, live performance metrics, disk usage, network checks, and more, enabling natural language queries about PC health and performance.