Analytics & Monitoring Servidores MCP
Descubre nuestra colección curada de servidores MCP para analytics & monitoring. Explora 1136 servidores y encuentra los MCP perfectos para tus necesidades.
SQL Visualization
Transforms SQL databases into interactive dashboards using natural language queries powered by AI.
Cp Logs Sieve
Enables AI assistants to efficiently filter and analyze Cloud Platform logs using prefixes, patterns, and time ranges.
Windows Diagnostics
Provides comprehensive Windows system and registry diagnostic capabilities to AI agents.
Airflow
Manages and monitors Apache Airflow DAG runs.
GraphQL Sales Server
Enables AI assistants like Claude to query a sales GraphQL database using natural language.
Sonique
Transcribe, summarize, and analyze audio content using intelligent processing.
AgentGo
Provides blockchain identity authentication, agent scoring, and market data analysis for AI agents via the MCP protocol.
Trading Simulator
Simulates financial trading scenarios using advanced agentic artificial intelligence.
Bitcoin
Obtains Bitcoin information using external APIs and provides it via the Model Context Protocol.
Finmap
Provides comprehensive financial market data from multiple global stock exchanges through a standardized Model Context Protocol (MCP) interface.
Network Capture
Captures and analyzes HTTP(S) and WebSocket network traffic, providing AI agents with insights and natural language query capabilities.
PhenoAge Clock
Calculates biological age and provides health insights using the Morgan Levine PhenoAge clock formula based on blood biomarkers.
Statsig
Integrates AI assistants with Statsig's feature flagging and experimentation platform for comprehensive feature management.
AI Response Time Statistics
Monitors and compares the response times of GitHub Copilot and other AI models.
Pagespeed
Analyze webpage performance using Google PageSpeed Insights through a Model Context Protocol (MCP) server.
OpenReplay
Empowers large language models to query and analyze user session data from OpenReplay, facilitating AI-powered insights into user behavior and application performance.
AppsFlyer
Integrates AppsFlyer analytics data with AI assistants via a Model Context Protocol server.
Codegraph
Scans Java JARs and IntelliJ projects to build and expose a class-dependency graph through the MCP protocol.
Chart Server
Generates TradingView chart visualizations using the Chart-IMG API and Server-Sent Events for real-time updates within Model Context Protocol environments.
Salary
Manages salary slip services for AI agents based on the MCP protocol, enabling secure and convenient integration for various intelligent applications.
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