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Enables AI agents with read-only access to PostgSail marine data systems for monitoring and analysis.
Provides live NHL data and statistics with natural language query capabilities through an MCP server.
Facilitates comprehensive Opsgenie alert management, including listing, creating, acknowledging, and closing alerts, through a Model Context Protocol server.
Enables Large Language Models like Claude Desktop to query live SendGrid data using CData JDBC Drivers.
Provides a micro-plugin server to fetch current weather and forecasts using the OpenWeatherMap API.
Connects large language models to live Snapchat Ads data, enabling natural language queries without SQL.
Provides an interface to query Danish statistical data from Danmarks Statistik's Statistikbanken API.
Integrates MetaTrader 5, MLP AI systems, and Django databases into a unified interface for chatbots and LLMs.
Exposes Podman container management capabilities via the Model Context Protocol, enabling AI tools to interact with containers and images.
Facilitates natural language interaction with Prometheus Alertmanager for alert and silence management via a Model Context Protocol server.
Provides a Multi-Agent Conversation Protocol (MCP) server for the Google Search Console API.
Checks connectivity and measures latency to websites and hosts via Model Context Protocol (MCP).
Exposes Interactive Brokers Trader Workstation API functionalities as Model Context Protocol tools for seamless LLM client integration.
Generates detailed reports of Trello board activity for specific time periods.
Captures and analyzes HTTP(S) and WebSocket network traffic, providing AI agents with insights and natural language query capabilities.
Tracks Ethereum’s validator activation and exit queues in real time for AI agents and real-time monitoring.
Enables interaction with F1 analysis data through Large Language Model interfaces using the Model Context Protocol.
Automates comprehensive statistical analysis and report generation from MySQL databases, providing AI assistants with powerful data processing capabilities.
Empowers revenue teams with real-time ML insights for lead prioritization, churn prevention, and conversion maximization.
Enables AI assistants to interact with and manage Google Ads data through the Model Context Protocol.
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