Enables Claude Desktop to interact with Google's Gemini AI models via a Model Context Protocol (MCP) server.
Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations.
Bridges AI assistants with StarRocks databases, enabling direct SQL execution and database exploration.
Automates software development task management for AI agents, facilitating chain-of-thought reasoning and code consistency.
Enables the development, deployment, and scaling of web browsing agents through a single API.
Provides a developer-friendly, embedded retrieval engine for multimodal AI, enabling efficient search and data management.
Integrates Google Gemini AI into Claude Code, enabling powerful AI collaboration and enhanced functionality.
Provides a robust and scalable operating system foundation for building, deploying, and managing intelligent AI agents.
Provides advanced image analysis capabilities like captioning, visual question answering, and object detection via the Model Context Protocol (MCP).
Provides a high-performance, resilient AI gateway for connecting to multiple large language model providers through a single, unified API.
Integrates Google's Gemini AI capabilities into Claude Code, providing a powerful AI assistant with a massive context window for code analysis.
Facilitates agentic AI communication between Cursor and Figma, enabling programmatic reading and modification of design files.
Explores space through an AI-powered web application that combines cutting-edge artificial intelligence with real-time cosmic data.
Facilitates building and deploying fully-managed AI agents and long-running workflows with built-in durability and observability.
Aggregates trending topics from over 35 platforms, offering intelligent filtering, automated multi-channel notifications, and AI-powered conversational analysis for deep news insights.
Integrates AI capabilities with draw.io diagrams to create, modify, and enhance visualizations using natural language.
Connects to diverse data sources to provide a unified context retrieval layer for AI agents and RAG systems.
Integrates AI assistants with esa.io, an information sharing service, to manage articles, comments, and team resources via Model Context Protocol.
Provides Large Language Models with real-time, version-pinned documentation to prevent hallucinations and deprecation issues.
Automate Gemini web operations for AI image generation, text conversations, and content extraction via Chrome DevTools Protocol.
Securely store and manage credentials for agents and scripts, proxy API requests, and provide a unified access point for multiple services.