Exposes Google AI Studio models (Gemini, Imagen, Veo) as MCP tools for text generation, image generation, and video generation, integrating with code editors and LLM clients.
Enables LLM evaluation and observability by uploading documents, building test sets, running RAG pipelines, and automatically scoring answers for groundedness, hallucination risk, retrieval quality, latency, and cost, with tools exposed to MCP-compatible clients.
Exposes Language Server Protocol (LSP) functionality as Model Context Protocol (MCP) tools, enabling AI clients to programmatically analyze and edit code in any language supported by VS Code.
Exposes a set of CLI tools (test generation, documentation generation, linting, test running, code search) to AI assistants via MCP, allowing them to perform these tasks through natural language.