Builds a keyword-searchable index from markdown documentation bundles and serves it to LLM agents via MCP, with retrieval logging and reporting for curation.
An MCP server that indexes PDF documentation and text into Elasticsearch for semantic search and retrieval. It enables users to query knowledge bases, ingest new files, and dynamically update content through MCP-compatible clients like Claude Desktop and Cursor.
Creates a local database of indexed technical documentation from web crawls and local files, enabling AI agents to efficiently search and retrieve documentation through MCP tools.