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Retrieves YouTube video URLs from a specified Watch Later playlist within a given timeframe.
Enables interaction with the Data.gouv.fr API, specifically the API Recherche Entreprises, via HTTP+SSE transport.
Generates UI flowcharts based on input specifications, aiding developers and designers in visualizing user interfaces and their interactions.
Manages project documentation and context across sessions, enabling AI models to maintain consistent project knowledge.
Secures API keys for Cursor MCP servers by loading them from a designated file in the home directory.
Exposes common Bazel actions like build, test, and dependency analysis through an MCP server.
Demonstrates integration of Azure OpenAI-based AI agents with Microsoft Fabric data warehouses through GraphQL using the Model Context Protocol (MCP).
Enables LLMs to search and retrieve information from various package repositories.
Enables AI assistants to search and play music tracks from YouTube Music.
Enables AI agents to interface with and control N.I.N.A. (Nighttime Imaging 'N' Astronomy) software for astrophotography setups.
Enables interaction with the Salesforce Agentforce API for authentication, session creation, and message exchange.
Connects AI models and automation tools to TheHive incident response platform.
Enables LLM applications to perform real-world telephony operations such as voice calls and SMS messaging using the Vonage API.
Orchestrates iterative refinement of text outputs using self-critique cycles to achieve high-quality, convergent results.
Exposes Cloudbet's public API for sports data and betting tools via a minimal Model Context Protocol server.
Provides a Model Context Protocol server for seamless integration with Sensor Tower APIs.
Exposes live Blazor component metadata via a Model Context Protocol server, enabling AI-assisted code generation and analysis.
Provides a universal Model Context Protocol (MCP) server enabling AI agents to discover, register, and communicate across the Hashgraph network.
Optimizes AI agent tool usage by semantically routing relevant tools from multiple MCP servers, significantly reducing context window bloat.
Provides AI assistants with direct, real-time access to the AGNO framework documentation.
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