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MCP Native Workspace (Databases, pages, kanbans, calendars etc.)
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Open-source MCP-native workspace for humans and AI agents.
Kanban boards, databases, and pages that Claude, Cursor, and any AI agent can read and write via MCP — alongside you.
Remnus is the Human-Agent Collaborative Workspace, built around the Model Context Protocol (MCP). Every page, database, and kanban board in your workspace is accessible to AI agents via a first-class MCP server — connect editors with one-click OAuth 2.1 (PKCE), or use a scoped bearer token for headless / CI agents.Read the full README ↗Open-source MCP-native workspace for humans and AI agents.
Kanban boards, databases, and pages that Claude, Cursor, and any AI agent can read and write via MCP — alongside you.
Remnus is the Human-Agent Collaborative Workspace, built around the Model Context Protocol (MCP). Every page, database, and kanban board in your workspace is accessible to AI agents via a first-class MCP server — connect editors with one-click OAuth 2.1 (PKCE), or use a scoped bearer token for headless / CI agents.
Unlike Notion's MCP integration, Remnus is designed for headless, CI/CD, and coding agent workflows from day one.
Remnus uses Open Knowledge Format (OKF) ideas as a portable knowledge contract. Pages can carry descriptions, types, tags, sources, lifecycle state, freshness dates, and revision-bound review signals. OKF v0.2 import/export is the interchange layer; the editable Remnus workspace remains canonical.
The prepare_context MCP tool turns a concrete task into Context Pack v2: a token-budgeted set of concepts ranked by BM25 relevance, native metadata, page links, freshness, and trust. Smart mode advertises this context-first flow automatically for meaningful work. Strict mode additionally requires the same agent's short-lived contextRunId before Remnus MCP mutations.
This does not let an MCP server control local files, shell commands, or Git. Repository-level enforcement uses the supplied AGENTS.md and CLAUDE.md snippets. Read the public Context-First MCP guide and the implementation story, How Remnus Uses OKF to Give AI Agents Better Context.
git clone https://github.com/Ranork/remnus-app.git
cd remnus-app
cp .env.example .env # fill in AUTH_SECRET + OAuth credentials
npm install
npm run db:migrate
npm run dev
Open http://localhost:3000. The first user to sign up is auto-promoted to admin.
If you prefer to run Remnus using Docker:
git clone https://github.com/Ranork/remnus-app.git
cd remnus-app
AUTH_SECRET and OAuth credentials):
cp .env.example .env
docker compose up -d
http://localhost:3000. The SQLite database will be persisted automatically using a Docker volume.After signing in, open the AI Agents panel from the sidebar and click Connect editor. It walks you through every supported editor (Cursor, VS Code, Claude Code, Codex, Windsurf, and more).
Remnus is published on the official MCP Registry (io.github.Ranork/remnus) and on Smithery, so MCP-aware clients and directories can discover it automatically. Smithery offers one-click install across many clients (Claude, Cursor, VS Code, Codex, Windsurf, and more) — open the Smithery page and click Add to toolbox, or use the Smithery CLI to install straight into a client's config:
npx -y smithery@latest mcp add ranorkk/remnus --client claude
This is the beginning of the README. Read the rest at the original. Read the full README ↗