Why this server?

Access any documentation indexed by RagRabbit Open Source AI site search

Why this server?

Provides curated documentation access via the Gemini API, enabling users to query and interact with technical docs effectively by overcoming context and search limitations.

Why this server?

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

Why this server?

Integrates Jina.ai's Reader API with LLMs for efficient and structured web content extraction, optimized for documentation and web content analysis.

Why this server?

A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.

Why this server?

Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.