An MCP server that enables Claude Desktop or Claude Code to ingest and search local documents using vector embeddings, returning relevant chunks as tool results for the model to reason over.
A local-first document retrieval MCP server that enables AI coding tools like Codex to search private local documents via semantic search and keyword boost, supporting ingestion of PDF, DOCX, TXT, Markdown, and HTML files.
MCP server that enables local hybrid semantic and keyword search over private PDF, DOCX, Markdown, and text documents without sending data to embedding APIs.
Self-hosted MCP server for Claude Code that implements PageIndex vectorless RAG locally, enabling indexing, navigation, and content extraction of PDF documents without LLM calls during search.
A local-first MCP server that ingests PDFs, extracts structure, and provides semantic search and sequential navigation tools for AI clients to query and learn from documents.
A local document search MCP server that indexes folders and provides hybrid keyword+semantic search, enabling users to chat with their documents via MCP clients like Claude Desktop or Claude Code.