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Enables high-quality image generation using the Flux.1 Schnell model via the Together AI platform.
Integrates Tavily API to provide advanced search and content extraction capabilities via the Model Context Protocol.
Retrieves YouTube video URLs from a specified Watch Later playlist within a given timeframe.
Enables integration between KoboldAI's text generation and applications compatible with the Model Context Protocol (MCP).
Enables Large Language Models (LLMs) to read, search, and manipulate OpenFGA stores for agentic AI and fine-grained authorization.
Manages and interacts with the Flowcore Platform via the Model Context Protocol (MCP).
Enables access to Zoom recordings and transcripts without requiring end-user authentication.
Provides real-time information about Zaragoza's bus, tram, and Bizi (bike sharing) services via the Model Context Protocol.
Provides API access to the USDA's FoodData Central database via a Model Context Protocol (MCP) server.
Enables AI agents to query and extract data from large JSON files.
Unifies cryptocurrency trading and market data monitoring across multiple exchanges using a Model Context Protocol (MCP) server.
Enables AI to send, read, search, delete, and reply to emails through SMTP or Gmail API.
Provides AI assistants with real-time access to YouTube data for searching, analysis, and detailed content retrieval.
Provides a comprehensive, MCP-compliant Location-Based Service (LBS) solution for maritime scenarios, offering a rich suite of ship and port APIs for developers and AI agents.
Provides an HTTP API endpoint for a Model Context Protocol (MCP) server, enabling access to data from diverse open-access publishers using an LLM and search API.
Provides a Model Context Protocol server for managing Hats Protocol operations across multiple blockchain networks.
Analyzes OpenAPI specifications to enable natural language queries, identify inconsistencies, and provide comprehensive insights for LLM clients.
Converts Swagger/OpenAPI specifications into an intelligent Model Context Protocol (MCP) server, enabling AI assistants to interact with complex API documentation without context window limits.
Provides AI assistants with access to all open data APIs from the Swedish National Agency for Education (Skolverket), tailored for large language models.
Aggregates complete developer documentation for WeCom and Feishu open platforms, enabling rapid retrieval and review of interface documents within AI programming assistants.
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