Analytics & Monitoring Servidores MCP
Descubre nuestra colección curada de servidores MCP para analytics & monitoring. Explora 999 servidores y encuentra los MCP perfectos para tus necesidades.
LumenX
Analyzes legal spend across diverse data sources to provide comprehensive financial insights.
Emqx Mcp Tools
Provides health checking and problem analysis tools for EMQX using MCP wrappers.
Argentina Datos
Provides a server for accessing diverse information about Argentina via the Argentina Datos API.
Mempool
Provides real-time Bitcoin blockchain and mempool data to AI clients via the Model Context Protocol.
Looking Glass
Provides extensive network probing and diagnostic capabilities from multiple global vantage points.
Liquidity Pools
Track and analyze decentralized exchange liquidity pools for powering intelligent DeFi agents and automated strategies.
Serverless
Provides a serverless implementation of the Model Context Protocol (MCP) using AWS Lambda, CloudFront, and Cognito authentication for scalable and secure cloud-hosted MCP servers.
FeedMob Advertising Reporting
Integrates with various advertising platforms' APIs to retrieve campaign reporting data.
Data Analytics Server
Provides a comprehensive data analytics environment, accessible through a web interface, for processing, analyzing, and visualizing data.
Portfolio Manager
Values personal investment portfolios across various asset classes, automates market data fetching, and generates trading insights using large language models.
InsightFlow
Analyze real-time data and generate AI-powered insights using natural language queries.
Claude Pytorch Treehugger
Facilitates interaction with the PyTorch HUD API, providing access to CI/CD data, job logs, and analytics.
Swift
Provides enterprise-grade analysis, architecture guidance, and performance optimization for Swift projects.
MDF
Provides a Model Context Protocol server for AI assistants to access and analyze ASAM MDF automotive and industrial measurement data.
Search Analytics
Provides unified access to Google Analytics 4 and Search Console data through a Model Context Protocol (MCP) interface.
CodeCompass
Enables intelligent repository analysis and AI-powered development assistance via an enterprise-grade Model Context Protocol (MCP) server.
Tempo
Enables AI assistants to query and analyze distributed tracing data from Grafana Tempo.
Guardrails
Connects AI assistants to Turbot Guardrails data for natural language exploration and cloud governance automation.
Go Example
Provides a robust Model Context Protocol (MCP) server implementation in Go, demonstrating analytics reporting capabilities and modern Go development practices.
Log Analyzer
Analyzes various log formats, including Windows Event Logs, structured, and unstructured text, to provide insights into system activities and issues.
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