An MCP server that enables interaction with Markdown knowledge bases, allowing users to search and retrieve content by tags, text, URL, or date range from their local markdown files.
A read-only MCP server that enables semantic search and retrieval over a local Markdown knowledge base with heading-aware chunking and multilingual embeddings.
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.
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.