Discover our curated collection of MCP servers for analytics & monitoring. Browse 2123servers and find the perfect MCPs for your needs.
Manage and analyze advertising campaigns through natural language conversations with Claude.
Connects AI assistants to the Vectra AI security platform, enabling intelligent analysis of threat detection data and automated incident response.
Demonstrates an AI agent querying system CPU and memory statistics from a local server.
Provides a comprehensive Model Context Protocol server for Excel operations spanning finance, accounting, rental property management, and expense tracking.
Provides a high-performance Model Context Protocol server, giving AI models the ability to analyze massive log files with SIMD-accelerated parsing and Polars.
Integrates AI agents with VanMoof services to access comprehensive bike and rider data.
Enables interaction with Databricks workspaces via the Model Context Protocol (MCP).
Values personal investment portfolios across various asset classes, automates market data fetching, and generates trading insights using large language models.
Enables Large Language Models to interact with Metabase for advanced data analysis, visualization, and dashboard management.
Monitors the software supply chain provenance of local Model Context Protocol (MCP) server packages.
Analyzes SonicWall firewall logs from SonicOS 7.x and 8.x, providing intelligent log analysis, threat detection, and security insights via a Model Context Protocol (MCP) compliant interface.
Connects Google Search Console to Claude, Cursor, and other Model Context Protocol (MCP) clients, enabling AI assistants to access SEO data.
Exposes Alpaca’s REST API via standard I/O, enabling real-time market data, order management, and comprehensive portfolio insights.
Facilitates interaction with the PyTorch HUD API, providing access to CI/CD data, job logs, and analytics.
Analyzes data, generates research papers, and automates email delivery using Google's Gemini Flash 2 AI model.
Automatically analyzes error, warning, and critical logs using AI agents to detect patterns, classify incidents, and recommend fixes.
Benchmarks vLLM endpoints interactively through MCP, enabling performance evaluation of large language models.
Sends Gotify push notifications from an MCP server environment.
Enables network control and management capabilities through the ONOS SDN controller.
Optimizes HSY Blominmäki wastewater pumping through multi-agent forecasts, a FastAPI orchestration backend, a React operator dashboard, and digital-twin tooling.
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