Self-hosted second brain with MCP

A developer built Brain AI Hub, a portable second brain system that combines a local LLM, markdown vault, semantic search, and MCP hooks for IDE agents. The open-source project enables self-hosted RAG and tool-based agent interactions without relying on cloud services, with one-click deployment to Cursor, Claude Code, and VS Code.

I run IT and cybersecurity ops by day and tinker in a homelab at night. The problem I kept hitting: useful context from Cursor and Claude Code sessions evaporates when the chat ends. Notes end up scattered. RAG demos are cloud-first. I wanted something I own. So I built Brain AI Hub https://github.com/lobrzut/brain  a portable second brain with a local LLM, markdown vault, semantic search, and MCP hooks for IDE agents. :11434 . brain-vault , brain-library , brain-rag with one-click deploy to Cursor, Claude Code, VS Code. :7860 for services, chat, GPU/VRAM, API keys, pipeline status.| Edition | Install | |---|---| Windows portable | Install.bat → Start.bat  copy the folder, run on another PC | Linux server | curl -fsSL …/linux/bootstrap.sh \ | Install scripts speak English and Polish {% raw %} locale.env : LANG=en or LANG=pl . On Windows, Brain deploys stdio MCP configs from the dashboard. On Linux, point Cursor at the SSE gateway: { "mcpServers": { "brain-rag": { "url": "http://192.168.1.10:7862/sse/brain-rag" } } } Agents can search your vault, pull library chunks, and run skills without sending data to a third-party memory API. RAG answers retrieval. MCP gives agents tools  write a note, list vault files, trigger a skill, query the code index. That matches how Cursor and Claude Code actually work: function calls mid-session, not a single embedding search at prompt time. Python, FastAPI, Ollama, sqlite-vec, PowerShell Windows , systemd Linux . Homelab-friendly: MikroTik/UniFi networking, WireGuard, Docker where it helps. git clone https://github.com/lobrzut/brain.git cd brain Windows: Install.bat && Start.bat Linux: curl -fsSL https://raw.githubusercontent.com/lobrzut/brain/main/linux/bootstrap.sh | sudo bash Open http://127.0.0.1:7860 , connect MCP from the Tools tab, drop a PDF in the library, run a distill job on an old chat export. Related homelab projects: AI Studio https://github.com/lobrzut/ai-studio ComfyUI + ACE-Step and NetDash https://github.com/lobrzut/netdash LAN service dashboard . Feedback and issues welcome on GitHub.