Enables searching and fetching Claude and Anthropic documentation with intelligent relevance scoring, optimized for MCP development, APIs, and examples.
Enables AI assistants to crawl, index, and retrieve information from technical documentation using semantic search, with optional knowledge graph validation for code hallucination detection.
Enables AI assistants to enhance their responses with relevant documentation through a semantic vector search, offering tools for managing and processing documentation efficiently.
Enables AI assistants to search and access Google Cloud Platform documentation in real-time, supporting 20+ GCP services with natural language queries and smart content extraction.
Enables AI assistants to search and fetch documentation content from Adobe Experience League, allowing natural language queries to retrieve Adobe product documentation and articles.
Enables MCP clients to retrieve authoritative AI Square documentation, API references, SDK examples, guides, and troubleshooting information through citation-safe hybrid search and static resources.