Discover our curated collection of MCP servers for analytics & monitoring. Browse 4291 servers and find the perfect MCPs for your needs.
Connects to a Tinybird Workspace and interacts with data sources and API endpoints using the Model Context Protocol.
Enables AI models to interact with and monitor JVM-based applications through a standardized Model Context Protocol (MCP) server implementation.
Connects to Google Cloud services to provide context and tools for interacting with resources.
Fetch and analyze web analytics data from Google Analytics 4 using Large Language Models.
Integrates Redash with AI assistants like Claude via a Model Context Protocol (MCP) server.
Exposes system metrics via the Model Context Protocol (MCP), enabling LLMs to retrieve real-time system information.
Analyze data and gain insights by connecting to various data sources and running SQL queries using an AI-powered data analysis/BI tool.
Provides an MCP server for Langfuse, enabling AI agents to query trace data for debugging and observability.
Fetch costs and usage data from a Vantage account using natural language queries.
Provides a centralized gateway and registry for managing and accessing multiple Model Context Protocol (MCP) servers.
Fetches Microsoft Clarity analytics data through a Model Context Protocol (MCP) server.
Automates optimization and analysis using Optuna APIs through the Model Context Protocol.
Accesses real-time data from Google News and Google Trends without relying on paid APIs.
Empowers AI with real-time desktop vision capabilities and enhanced UI intelligence through the Model Context Protocol.
Summarizes GitHub discussions, issues, and pull requests using a fast local database to provide comprehensive insights.
Facilitates access to Turkish government tender information via a Model Context Protocol (MCP) server for LLM applications and other clients.
Performs multi-engine web searches, content retrieval, and comprehensive web research with advanced scraping and analysis tools.
Integrates InfraNodus knowledge graph and text network analysis capabilities into large language model workflows and AI assistants.
Deploys a local, open-source MCP server specifically for financial analysis and quantitative trading, featuring a departmental architecture that mirrors real financial firm operations.
Transforms YouTube videos into AI-queryable resources by extracting metadata, transcripts, and frames for semantic search and analysis.
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