Discover our curated collection of MCP servers for analytics & monitoring. Browse 1551servers and find the perfect MCPs for your needs.
Provides coding agents with programmatic access to Chrome DevTools for comprehensive browser control, inspection, and debugging.
Unifies metadata for data discovery, observability, and governance through a central repository, in-depth column-level lineage, and seamless team collaboration.
Provides an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting of LLM applications.
Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP.
Provides a unified, cloud-native observability database for metrics, logs, and traces, supporting SQL, PromQL, and streaming analytics.
Aggregates trending topics from over 35 platforms, offering intelligent filtering, automated multi-channel notifications, and AI-powered conversational analysis for deep news insights.
Provides an open-source, cloud-native LLMOps platform for designing, deploying, observing, and managing AI applications.
Generates visual charts from data using the Model Context Protocol and AntV.
Connect AI models to thousands of APIs, data sources, and tools with a single function call, abstracting away the complexities of the Model Context Protocol.
Provides structured spec-driven development workflow tools for AI-assisted software development.
Provides a Model Context Protocol (MCP) server for accessing and interacting with Grafana instances and their surrounding ecosystem.
Empowers RSS with AI to automatically filter, summarize, and deliver important information, reducing information overload.
Unify access to diverse data sources, from files and databases to popular applications, by querying them with SQL and integrating with large language models.
Offers a comprehensive production toolkit for large language models, providing observability, prompt management, and evaluation capabilities to enhance LLM development.
Supports developers and AI agents throughout the entire Postgres development process, from initial coding to production tuning.
Automates FinOps processes to reduce cloud costs and streamline financial operations through no-code workflows.
Monitors PostgreSQL databases, finds root causes of issues, and suggests fixes and improvements.
Integrates Google Analytics APIs with a local Model Context Protocol (MCP) server to provide LLM-consumable tools for analytics data.
Simplifies Kubernetes cluster management with an AI-powered, lightweight dashboard featuring multi-cluster support and intelligent analysis.
Manage personal finances with a self-hosted, multi-currency tracker emphasizing a no-budget, straightforward approach.
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