Discover our curated collection of MCP servers for analytics & monitoring. Browse 2142servers and find the perfect MCPs for your needs.
Analyzes code repositories.
Analyzes the Titanic dataset using a Model Context Protocol (MCP) server to enable data exploration and analysis with Claude.
Enables AI assistants to interact with Amazon CloudWatch Logs through a standardized Model Context Protocol (MCP) interface.
Enhances Power BI workflows by integrating AI agents and analytics for streamlined data visualization and business intelligence.
Provides real-time financial data streaming from the Finnhub API via the Model Context Protocol (MCP) C# SDK.
Enables AI assistants to securely interact with diverse educational platforms and track family learning progress.
Provides an AI-powered pension consultation web service and a data server utilizing Korea's Financial Supervisory Service (FSS) pension data.
Debugs server logs rapidly with AI-powered analysis, real-time monitoring, and actionable fixes.
Connects AI agents to Tibber's energy consumption and pricing data via the Model Context Protocol.
Provides intelligent analysis and configuration assistance for Helm chart dependencies, enabling AI agents to understand and validate chart structures.
Provides real-time weather alerts and forecasts through a Model Context Protocol (MCP) server and client.
Scans web pages and entire websites to identify and report broken links.
Enables Large Language Models to query and interact with your Metabase business intelligence instance.
Orchestrates multiple HR data sources using Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) to provide accurate, context-aware responses as an intelligent HR assistant.
Enables LLM agents to interact with and retrieve read-only operational insights from your Proxmox virtual environments.
Connects any OpenAI-compatible LLM API to the Model Context Protocol, enabling robust analysis and evaluation of large language model quality.
Enables LLMs to audit and interact with ClickUp workspaces, spaces, lists, and custom fields.
Provides full-stack observability for Next.js applications, integrating with AI coding tools for enhanced debugging.
Control and inspect a live Chrome browser to enable reliable automation, debugging, and performance insights.
Enables AI assistants to directly interact with network devices, query inventory, and retrieve real-time operational data through a standardized Model Context Protocol (MCP) interface.
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