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Exposes AWS S3 operations through a secure Model Context Protocol (MCP) interface for AI agents and clients.
Automates red team vs. blue team AI competitions to discover and patch vulnerabilities in open-source ecosystems using LLM-driven agents.
Aggregates real-time hot topics data from various online platforms.
Facilitates multimodal AI generation, editing, and video creation through Google's advanced Gemini, Imagen, and Veo models.
Empower AI chatbots with sophisticated long-term memory, comprehensive Notion workspace integration, and standardized tool communication via Model Context Protocol.
Enables AI agents to control multiple robots simultaneously through an MCP server interface.
Enables Large Language Models (LLMs) to understand BigQuery dataset structures and execute SQL queries.
Provides intelligent context management tools to help MCP clients maintain consistency in long-running AI conversations, solving LLM memory loss and intent forgetting.
Exposes API Market's endpoints as Model Context Protocol (MCP) resources, allowing Large Language Models to discover and interact with over 200 APIs defined by OpenAPI specifications.
Orchestrates AI-driven planning and execution workflows for software development by integrating Google Gemini with Claude Code.
Converts Claude-style skills into callable tools, enabling seamless integration for non-Claude MCP clients.
Provides seamless programmatic access to Human Protein Atlas data, offering comprehensive information on protein expression, localization, and pathology.
Integrates Claude AI with Tiger Brokers' trading platform, enabling AI-powered financial operations and real-time market interactions.
Enables FastAPI applications to expose their endpoints as an AI-friendly, introspectable server using the Model Context Protocol.
Transforms existing Model Context Protocol (MCP) servers into importable Python libraries, enabling efficient and scalable AI agent tool usage.
Provides a universal camera interface and vision tools for AI assistants, enabling them to capture and process images.
Expose public Rust APIs to language models using `cargo public-api`.
Empowers users to create dynamic canvases and explore multimodal AI generation, complemented by intuitive tools for essential task management and real-time notifications.
Orchestrates best-in-class language tools for multi-language code analysis and static checks across AI agents, LLMs, and automation workflows.
Enables AI-powered malware research and reverse engineering activities within Binary Ninja, providing threat intelligence insights.
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