Discover our curated collection of MCP servers for analytics & monitoring. Browse 3947 servers and find the perfect MCPs for your needs.
Facilitates interaction with Jenkins CI/CD servers for managing jobs, builds, and reports.
Enables AI assistants to interact with Kubecost cost management through natural language.
Provides a robust security audit and compliance server for the Model Context Protocol, integrating multiple scanners and frameworks with strict project boundary enforcement.
Connects AI assistants with the Headlesshost platform API, enabling comprehensive interaction across user, content, and system operations.
Provides a comprehensive Model Context Protocol (MCP) server for deep integration with TestRail's test management capabilities.
Retrieves real-time Kimchi Premium data for various cryptocurrencies.
Automates comprehensive statistical analysis and report generation from MySQL databases, providing AI assistants with powerful data processing capabilities.
Integrates Marine Traffic vessel tracking data to provide real-time vessel positions, detailed vessel information, historical voyage insights, and comprehensive port intelligence via a Model Context Protocol server.
Monitor GitHub repositories, pull requests, issues, and deployments for multiple projects through AI assistants.
Provides privacy-first personal health intelligence by translating health data into quantitative signals, performing anomaly detection, and offering AI-driven analysis while keeping raw data encrypted.
Exposes Remote Scout agent management as tools for Large Language Models (LLMs) supporting the Model Context Protocol.
Assesses elder care facility safety by analyzing violations, complaints, ownership, quality ratings, and staffing.
Provides an MCP server to access and query Apple Health data from local CSV exports generated by Health Auto Export.
Diagnose and optimize Meta Ads campaigns using expert-level insights, real-time data, and comprehensive reporting based on Meta's internal mechanics and official guidelines.
Provides a standalone service module designed to host Poco platform's diverse open interfaces for AI consumption.
Enables AI agents to report their infrastructure requirements, providing aggregated demand signals for development prioritization.
Provides a comprehensive suite of utilities for managing environment configurations, checking system resources, and verifying tool dependencies for development and deployment.
Provides a local FastMCP server and a web application to run, manage, and interact with the Kyutai Moshi real-time speech model.
Exposes Helixa protocol capabilities, including credibility scoring, agent identity, and search, as native tool calls for MCP-compatible AI agents.
Integrates with AppMetrica API to manage mobile analytics, cohorts, user profiles, and push campaigns.
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