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Compiles Manim code into animations and serves them via an API, supporting various clients and integrations.
Provides a core server for AI intelligent customer service, enabling order and store location querying capabilities.
Controls Philips Hue lights via conversational AI interfaces.
Integrates the Tavily API into an MCP server to provide robust web search capabilities.
Empowers Large Language Models to execute rule-based simulations of molecular interaction systems using the Kappa language.
Provides a Model Context Protocol endpoint for integrating custom functionalities and large language models.
Connects Claude to human intelligence, allowing you to respond to its requests for information, decisions, or actions via a real-time web interface.
Enables LLMs to retrieve and process web page content, converting HTML into markdown for easier consumption.
Empowers AI agents by providing unified access to a rich ecosystem of tools, cognitive systems, and specialized services through the Model Context Protocol.
Provides precise, timezone-aware date and time operations for various applications, particularly to assist AI models.
Facilitates interaction with Aptos documentation and creation of full-stack Aptos blockchain applications.
Proxies backend employee management APIs, offering a standardized Model Context Protocol interface for frontend applications.
Integrates the Yogosha Bug Bounty Platform API into the Model Context Protocol (MCP) ecosystem, enabling programmatic interaction and automation.
Transforms a Zuora OpenAPI specification into a Model Context Protocol (MCP) server for streamlined API interaction.
Provides detailed insights into file histories, changes, and patterns within Git repositories, focusing on individual file analysis.
Provides read-only access to Datasette databases for AI assistants via the Model Context Protocol.
Offers practical code examples and foundational building blocks for understanding and implementing A2A protocols.
Streamline prompt engineering, manage AI model context, and optimize performance for better AI project results.
Integrates AI assistants with the HiveFlow automation platform, enabling AI to manage and execute automated workflows.
Simplifies deployment of tools, resources, and prompts for agents.
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