Enables searching and fetching documentation pages from a wide range of programming languages, frameworks, game engines, and tools. Supports multiple sources and returns relevant documentation snippets.
Provides access to Naver Search APIs, allowing AI agents to search across multiple categories (blogs, news, books, images, shopping items, etc.) with structured responses optimized for LLM consumption.
Enables users to search and fetch Google's Gemini API documentation directly within an MCP-compliant environment. It provides structured access to guides and references for features like function calling, embeddings, and text generation.
Enables searching and reading of PortOne documentation, including OpenAPI schemas and product guides, through the Model Context Protocol. It allows AI agents to easily access and integrate payment-related technical specifications into their workflows.
Provides curated documentation access via the Gemini API, enabling users to query and interact with technical docs effectively by overcoming context and search limitations.
Provides AI agents with access to Toss developer documentation and icon catalogs, enabling search and retrieval of official docs and icon usage recommendations.