Superlore
FreeNot checkedThe agent-native knowledge base — dual-representation components, theme, MCP, and auth. One corpus. Humans and agents.
About
The agent-native knowledge base — dual-representation components, theme, MCP, and auth. One corpus. Humans and agents.
README
superlore
The company knowledge base your agents run on.
Your agents turn specs, transcripts, and brainstorms into rich, structured docs — canvases, boards, timelines — that compound into one company knowledge base every agent can read over MCP.
One corpus. Humans and agents.
Open source · MCP-native · Deploy anywhere
Get started
Let your agent build it — three quick pastes into Claude (run each on its own, in order):
1 · Add the marketplace (one time)
/plugin marketplace add KrishnanSG/superlore
2 · Install the plugin
/plugin install superlore@superlore
3 · Ask for your knowledge base — in a fresh chat
Make me a docs site with superlore
That's it. Claude scaffolds the project, seeds a page or two, wires up the MCP, sets up your editor, and previews it — then you keep talking to it to author. No framework to learn.
Prefer the terminal?
curl -fsSL https://superlore.vercel.app/install.sh | sh
superlore init my-kb && cd my-kb && superlore dev
Adding superlore to an existing Next.js app? See Getting started.
One block, two faces
Half your docs are read by agents now, not people — and every other tool just bolts an MCP onto the old way of writing them, serving scraped, lossy HTML. superlore rethinks the document for a world where AI writes, reads, and maintains it: every component is dual-representation. You author once, and the same block renders a beautiful, interactive surface for humans and serializes to clean, typed data an agent reads over MCP — provably one source, no drift.
The board a human sees is the typed graph an agent reads — queryable structure, not a flat image.
What you get
- Dual-representation components — Canvas, Timeline, Board, EntityCard, Table, Decision, and more. Each renders for humans and serializes to a typed knowledge face for the MCP.
- The Canvas — FigJam, in code. Declare nodes, edges, and groups; superlore auto-designs and lays out an interactive whiteboard. The board is the typed graph.
- MCP-native. Every deploy serves an MCP at
/api/mcpover the same content the site renders —search,get_page,list,navigate,get_component_data. - The Viewer — drop in any
.mdxand see it render live, with comments and export. Try it → - Editor extension — live preview of every component in VS Code, Cursor, and Windsurf.
- One-config auth — Auth.js + Google SSO, off by default; gate the site or just the MCP, and the MCP inherits the same policy.
- Yours to deploy — it's MDX in your repo: ship to Vercel, Cloudflare, or your own box. Or let superlore Cloud host it for you.
Built with superlore
Shipped a KB with superlore? Add the badge:
[](https://superlore.vercel.app)
Contributing & license
superlore is open source and built to grow a community. Read CONTRIBUTING.md and the CODE_OF_CONDUCT.md; report a vulnerability via SECURITY.md. PRs welcome.
superlore — author once. Humans and agents read the same corpus.
Install Superlore in Claude Desktop, Claude Code & Cursor
unyly install superloreInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add superlore -- npx -y superloreFAQ
Is Superlore MCP free?
Yes, Superlore MCP is free — one-click install via Unyly at no cost.
Does Superlore need an API key?
No, Superlore runs without API keys or environment variables.
Is Superlore hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Superlore in Claude Desktop, Claude Code or Cursor?
Open Superlore on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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