An MCP server that enables Claude to generate, search, and manage documentation for codebases using vector embeddings and semantic search, providing tools for creating user guides, technical documentation, code explanations, and architectural diagrams.
An MCP server that integrates with Claude to provide smart documentation search capabilities across multiple AI/ML libraries, allowing users to retrieve and process technical information through natural language queries.
An MCP server that ingests various data sources and uses LLMs to compile them into structured knowledge pages, enabling hybrid search and integration with AI coding tools like Claude Code and Cursor.
A self-hosted MCP server that provides up-to-date documentation for enterprise and development tools directly to AI coding assistants like Claude Code and Cursor.
MCP server providing RAG context and failure capture for Claude Code, enabling semantic search across project knowledge and storing/analyzing failures.
