MCP server for a content-first knowledge base, enabling AI agents to search (full-text, semantic, hybrid) and retrieve Markdown documents, list content, and find related docs.
An MCP server that turns a directory of markdown documentation into searchable, citable tools for AI assistants, enabling them to find, read, and reference specific sections with auditable citations.
An MCP server that enables intelligent search and retrieval of QuantConnect documentation by converting PDFs into searchable markdown. It provides tools for context-aware search with TF-IDF scoring and allows for listing and retrieving full document content.