Analytics & Monitoring MCP Servers
Discover our curated collection of MCP servers for analytics & monitoring. Browse 2045servers and find the perfect MCPs for your needs.
MCPcat
Captures user intentions and behavior patterns for MCP server analytics, eliminating guesswork and accelerating product development.
Google Ads
Integrates the Google Ads API with Model Context Protocol clients like Claude Desktop, enabling direct data access, automated authentication, and advanced query execution.
Render
Interact with your Render cloud resources using Large Language Models.
Trino
Implements a Model Context Protocol (MCP) server for Trino in Go, enabling AI assistants to interact with Trino's distributed SQL query engine.
Google Tag Manager
Provides an interface to the Google Tag Manager API.
Ahrefs
Connects Claude desktop and other compatible AI assistants to Ahrefs data.
Splunk Integration
Enables natural language interaction with Splunk Enterprise and Cloud for searching data and managing resources.
Schedcp
Automates AI optimization of Linux kernel schedulers using the sched-ext framework.
ThingsBoard
Provides a natural language interface for LLMs and AI agents to interact with the ThingsBoard IoT platform.
Excel
Enables natural language interaction with Excel files for data analysis, visualization, and manipulation.
Mcp Gateway
Provides a centralized gateway and registry for managing and accessing multiple Model Context Protocol (MCP) servers.
Vantage
Fetch costs and usage data from a Vantage account using natural language queries.
Google Cloud
Connects to Google Cloud services to provide context and tools for interacting with resources.
System Monitor
Exposes system metrics via the Model Context Protocol (MCP), enabling LLMs to retrieve real-time system information.
Loki
Integrates Grafana Loki log data with the Model Context Protocol for AI agent interaction.
Actual Budget
Enables natural language interaction with Actual Budget financial data through large language models using the Model Context Protocol.
Tinybird
Connects to a Tinybird Workspace and interacts with data sources and API endpoints using the Model Context Protocol.
Code Graph RAG
Creates intelligent graph representations of codebases with comprehensive semantic analysis capabilities.
JVM
Enables AI models to interact with and monitor JVM-based applications through a standardized Model Context Protocol (MCP) server implementation.
Perfetto
Translates natural-language prompts into precise Perfetto queries to analyze trace data without requiring manual SQL writing.
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