Analytics & Monitoring MCP Servers

Discover our curated collection of MCP servers for analytics & monitoring. Browse 771servers and find the perfect MCPs for your needs.

Provides access to a VictoriaLogs instance via the Model Context Protocol (MCP).

Enables natural language interaction with Actual Budget financial data through large language models using the Model Context Protocol.

Provides access to Google Ads data and management capabilities through a Model Context Protocol (MCP) server.

Analyze GitHub repositories, developers, and organizations with in-depth insights into the open-source ecosystem.

Enhances Flutter development with intelligent code analysis, comprehensive documentation search, and performance optimization tools.

Analyze data from the Apple App Store and Google Play Store to gain comprehensive market intelligence.

Optimizes Apache Spark code using AI-powered analysis and suggests performance enhancements.

Provides real-time access to decentralized exchange (DEX) pair data, token information, and market statistics from the DexScreener API.

Enables AI assistants to connect to data sources, transform data, and generate visualizations through natural language requests.

Streamlines cybersecurity reconnaissance by providing access to Shodan and VirusTotal APIs through a Model Context Protocol interface.

Captures browser console logs and provides them to Cursor IDE through the Model Context Protocol.

Empowers security teams with AI-driven threat intelligence analysis, identifying and attributing threats across multiple sources.

Implement B2B feature flagging with a built-in feedback loop using these JavaScript and TypeScript SDKs.

Connects AI agents to OPC UA-enabled industrial systems for real-time data interaction.

Enables direct debugging inside the client by reading and analyzing Model Context Protocol (MCP) logs from standard locations across platforms.

Provides scientifically validated analysis of conversational speech patterns from Limitless Pendant recordings.

Captures console logs and tracks network requests from a Playwright browser instance.

Facilitates AI-driven diagnostics and insights for Rollbar error tracking and monitoring.

Enables Large Language Models (LLMs) to interact programmatically with Prometheus instances.

Simplifies Kubernetes management through conversational AI, enabling real-time diagnostics and resource monitoring.

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