RootMind MCP server

RootMind

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Install · Connect MCP clients · How it works · Why a tool loop · Security · Limitations

Ask your documents a question. Get the answer with the page it came from.

RootMind indexes the folders you choose on your own computer (PDF, Word, Excel, PowerPoint, CSV, Markdown and text files). When you ask a question, a language model searches that index and reads the passages it asks for, then answers with sources down to the page, slide or sheet. There is no embedding model and no vector database: indexing is plain full-text search in SQLite, and the model drives the retrieval.

https://github.com/user-attachments/assets/d3cc0249-a550-4de5-ae6b-55c1291a282f

resolved, the page, slide or sheet.

• Cited answers. Every answer names its files and, where it can be

no LLM and no API key. Answering a question sends the question and the excerpts the model reads to the provider you configure (Anthropic, OpenAI or xAI). With a local Ollama server as the provider, nothing leaves your computer (see Local models with Ollama).

• Your files stay on your computer. Indexing and search are local and need

chat, the model searches and reads targeted windows, and every step is a visible tool call. The cost is more model round trips than classic RAG; see Why a tool loop instead of embedding RAG.

• It reads, it does not stuff. Instead of pasting whole documents into a

MCP, for Claude Desktop, Claude Code, n8n and other agents.

• Usable from your other tools. The same read-only tools are served over

is MIT.

• Windows and Linux. The desktop app is in English and German; the license

Try it in a few minutes

RootMind-Setup-x64.exe (Windows 10 or 11) or the .deb, .rpm or AppImage (Linux).

1. Download

answers, add a key under Settings and untick Search only.

1. Start RootMind and add a folder with your documents under Folders.
2. Open Chat, tick Search only and search. This needs no API key. For

The Quickstart has the details.

What it is

The repository has two parts:

localhost REST API, and MCP servers over stdio and HTTP.

• Backend (Python, FastAPI): indexer, full-text search, the agent loop, a

chat and search UI for Windows and Linux, in English and German. On Windows its installer sets up the backend as a Windows service; on Linux the app sets it up as systemd user services of your account. The app talks to that service.

• Desktop app (Tauri 2 with React and TypeScript, plus a Rust shell): a

Shortened. The full README is on GitHub.