analytics & monitoring向けの厳選されたMCPサーバーコレクションをご覧ください。1783個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Provides comprehensive financial market data from multiple global stock exchanges through a standardized Model Context Protocol (MCP) interface.
Enables AI assistants to monitor, diagnose, and query Amazon Redshift databases via the AWS Data API.
Manages RSS and Atom feeds, providing functionalities for fetching, parsing, caching, and monitoring.
Provides a Model Context Protocol server for accessing EVE Online market data via the ESI API.
Enables programmatic interaction with the SocialData API to fetch Twitter/X data, monitor user activity, and analyze social media engagement.
Optimizes PostgreSQL operations with 63 AI-native tools for query optimization, index tuning, EXPLAIN analysis, and comprehensive database health management.
Retrieves Sentry issue details or lists of issues for analysis and debugging.
Provides AI-powered analysis of personal fitness data from multiple providers via an MCP server.
Integrate You Need A Budget (YNAB) with AI assistants to enable powerful financial automation and analysis.
Verifies AI implementations against its claims to ensure accuracy and prevent discrepancies in code generation.
Manages and analyzes Amazon Advertising data through a standardized interface for LLMs.
Analyzes Codecov reports to suggest tests and identify areas lacking test coverage.
Diagnose network problems and analyze local and remote networks using an interactive chatbot with over 50 built-in tools, even offline.
Integrates live TikTok analytics and insights directly into AI assistants, enabling real-time access to social media data.
Provides comprehensive analysis and insights into local browser history data from multiple browsers.
Provides a simple interface to interact with Bybit, OKX, and Binance public API endpoints.
Facilitates interaction with the PyTorch HUD API, providing access to CI/CD data, job logs, and analytics.
Facilitates comprehensive management and interaction with SQL Stream Builder (SSB) deployments, supporting both standalone and Cloudera Data Platform environments via Model Context Protocol.
Manages Apache Beam data pipelines across different runners using a standardized Model Context Protocol (MCP) API.
Automates cybersecurity vulnerability assessment by integrating various threat intelligence sources and analysis tools.
Scroll for more results...