Analytics & Monitoring Servidores MCP
Descubre nuestra colección curada de servidores MCP para analytics & monitoring. Explora 705 servidores y encuentra los MCP perfectos para tus necesidades.
Opik
Debug, evaluate, and monitor LLM applications, RAG systems, and agentic workflows.
Nginx UI
Provides a web interface for managing and configuring Nginx servers.
Phoenix
Provides an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting of LLM applications.
BrowserTools
Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP.
GreptimeDB
Provides a unified, cloud-native observability database for metrics, logs, and traces, supporting SQL, PromQL, and streaming analytics.
Pezzo
Provides an open-source, cloud-native LLMOps platform for designing, deploying, observing, and managing AI applications.
Chart Generator
Generates visual charts from data using the Model Context Protocol and AntV.
Lunary
Offers a comprehensive production toolkit for large language models, providing observability, prompt management, and evaluation capabilities to enhance LLM development.
Zenfeed
Empowers RSS with AI to automatically filter, summarize, and deliver important information, reducing information overload.
Grafana
Provides a Model Context Protocol (MCP) server for accessing and interacting with Grafana instances and their surrounding ecosystem.
OpenOps
Automates FinOps processes to reduce cloud costs and streamline financial operations through no-code workflows.
Xata Agent
Monitors PostgreSQL databases, finds root causes of issues, and suggests fixes and improvements.
Postgres Pro
Supports developers and AI agents throughout the entire Postgres development process, from initial coding to production tuning.
K8M
Simplifies Kubernetes cluster management with an AI-powered, lightweight dashboard featuring multi-cluster support and intelligent analysis.
OpenSearch Python Client
Enables interaction with OpenSearch clusters using Python.
Data Exploration
Facilitates interactive data exploration by turning complex datasets into actionable insights.
dbt
Provides a Model Context Protocol (MCP) server for interacting with dbt projects.
YouTube
Enables AI language models to interact with YouTube content through a standardized interface for video and channel management, transcript retrieval, and advanced analytics.
ClimateTraceKMP
Visualizes climate-related emission data sourced from ClimateTrace.org.
Sentry
Acts as a middleware MCP server to interact with the upstream Sentry API provider via LLMs.
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