Discover our curated collection of MCP servers for analytics & monitoring. Browse 2123servers and find the perfect MCPs for your needs.
Equips AI agents with memory, self-awareness, and the ability to replay and undo actions for robust autonomous operation.
Provides a Python-based server to interact with Experimental Physics and Industrial Control System (EPICS) process variables, enabling retrieval, setting, and detailed information fetching of PVs.
Connects ChatGPT with MetaTrader 5, enabling AI-driven execution of trading operations and comprehensive market analysis.
Analyzes customer data, creates targeted marketing campaigns, and provides actionable business insights using AI agents within a Customer Relationship Management system.
Analyzes GeoGuessr game statistics, offering multi-user support, automatic API monitoring, and dynamic schema adaptation for data retrieval.
Automates complete CI/CD workflows for the Karma project, ensuring robust testing, code quality, and multi-architecture Docker deployments.
Integrates Range's comprehensive blockchain intelligence APIs to empower AI assistants with real-time analytics, risk assessment, and compliance tools for digital asset operations.
Control your video conferencing platform using natural language through AI assistants.
Calculates life-cycle greenhouse gas emissions from flights using the Google Travel Impact Model API.
Search Graylog logs by timestamps, filter by streams, and debug production issues directly from Claude Desktop.
Manages and monitors power supplies through MQTT, the Model Context Protocol (MCP), and a dedicated graphical user interface.
Delivers comprehensive Formula 1 championship standings, race analytics, and telemetry data to your AI assistant.
Provides AI assistants with secure, read-only access to MoneyWiz financial data for natural language queries and financial analytics.
Accesses Victron VRM data through a Model Context Protocol (MCP) server, offering read-only API integration for AI agents.
Surfaces vehicle CAN/OBD data to large language models by simulating ECUs on a virtual bus, decoding with DBCs, and exposing tools via Server-Sent Events.
Enables AI agents to seamlessly interact with the Binance cryptocurrency exchange via a Model Context Protocol server.
Enables robust integration with the Sonic blockchain, providing a Model Context Protocol (MCP) server for production-ready decentralized applications.
Locates the nearest error in JavaScript bundles (without sourcemaps) and leverages an LLM to check for codebase matches.
Facilitates Mattermost integration by connecting to its API endpoints and making information available through standard MCP transports.
Integrates AI assistants with the Indigo Home Automation system, enabling natural language control and data access.
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