Enables grounding AI responses in a local document corpus by exposing MCP tools to list, search, and summarize documents, and generating answers using OpenAI.
A local AI document assistant MCP server that enables listing, reading, and editing documents via tools, resources, and prompts, allowing LLMs to manage document workflows through natural language.
Exposes a Retrieval-Augmented Generation pipeline as MCP tools, allowing users to index documents and query them through any MCP-compatible client like Claude or IDEs.
A command-line chat interface that connects to an MCP server for reading and editing documents. It provides tools for document manipulation, resource access, and prompts for formatting and summarization.
Enables Claude to interact with collaborative Docs instances, providing document management, content editing, access control, and AI-powered transformations via MCP.