Provides AI models with direct access to documentation for over 600 technologies from DevDocs.io, including popular languages, frameworks, and tools. It enables comprehensive searching, content retrieval, and offline access via an intelligent local caching system.
Enables AI assistants to fetch, index, and perform semantic RAG-based searches on API documentation from various sources. It provides tools for hybrid search and collection management, allowing users to access up-to-date documentation from projects like Gemini and FastMCP.
Provides access to Apple documentation and WWDC transcripts with semantic, keyword, and hybrid search capabilities, enabling developers to quickly find relevant code examples and technical information.
Provides access to Apple's official developer documentation, frameworks, APIs, and WWDC session transcripts across all Apple platforms. It enables AI assistants to search technical guides, sample code, and platform compatibility information using natural language queries.
Provides access to Agno framework documentation for AI agents, enabling search and retrieval of SDK references, API endpoints, code examples, and integration guides through MCP-compatible tools.
