Booboo
The Booboo server provides read-only graph querying tools for navigating and exploring a structured brain graph (nodes/links) via MCP tools:
booboo_stats— Retrieve node and link counts for the entire graph, broken down by layer. No input required.booboo_search— Find nodes by label or ID with ranked results (exact → prefix → substring). Requires a query string; optional result limit.booboo_node— Fetch complete data for a single node by its exact ID.booboo_neighbors— Explore connected nodes and links around a given node up to a specified depth, with an optional result limit.booboo_path— Find the shortest path between two node IDs using BFS traversal, with a configurable max hops (default 64, max 1000); returns null if no path exists.
Allows using Neo4j as a data source for building a Booboo brain graph via a config-driven adapter.
Exports a Booboo brain snapshot as a wiki-linked markdown vault ready to be opened in Obsidian for browsing and note-taking.
Allows using Supabase (Postgres) as a data source for building a Booboo brain graph, with privacy walls and parent spines.
🐾 Booboo — the unified operational brain
Turn any AI system's data into one living, rooted 3D brain — structure + knowledge + memory + agents + automations fused into a single graph. Query it by REST or MCP, view it in your browser or as a desktop wallpaper, and boot your agents from it in one call.
See it before you install it → booboo-black.vercel.app · a live brain in your browser, no signup, nothing to clone.
Named after a dachshund who never forgets where the treats are buried. Fitting, because Booboo is about exactly that: memory and recall — seeing the whole system at once, fetching what's buried, never losing the thread.
Unretouched: booboo view --demo --nodes 50000 — 50k nodes, 4 layers, live in a browser tab, zero console errors. Try it yourself in one command.
Most tools show you one slice: a knowledge graph, an agent flow chart, a memory store, a trace viewer. Booboo fuses all of them into one graph rooted at a single point, so you can see — and query — how the whole system actually hangs together.
Status: alpha — eight packages published:
@booboo-brain/spec(the contract),@booboo-brain/build(config-driven postgres/json adapters),@booboo-brain/serve(REST + MCP query layer),@booboo-brain/viewer(million-node 3D render),@booboo-brain/panel(the organigram),@booboo-brain/vault(wiki-linked markdown export),@booboo-brain/cli(the unifiedbooboocommand), andcreate-booboo(project scaffolder). Per-package semver — see eachpackage.json. MIT.
The one idea
Booboo is a tiny JSON spec at the center, with adapters that feed it and consumers that render/serve/query it:
your data ──▶ ADAPTERS ──▶ GRAPH JSON ──▶ CONSUMERS
(postgres, (config- (the spec, (3D viewer ·
json, neo4j, driven, ~1 KB REST API ·
mcp, …) ~50 lines) contract) MCP server · wallpaper)Emit the JSON → get the viewer, the API, and the MCP server for free. Weird data → a ~50-line adapter, not a fork. See SPEC.md.
Related MCP server: Thread Keeper
Quickstart
One command. No database, no config, no signup. A synthetic brain, running on your machine:
npx @booboo-brain/cli view --demo --nodes 1000000That's the headline flex: a million nodes at 60fps in a browser tab. Drop the count to --nodes 50000 on a modest laptop. See SCALE.md for how it holds up (one draw call over a single point cloud with a custom shader, plus tier-LOD on labels).
Then point it at your own stack:
# scaffold a project (json starter + postgres upgrade path)
npx create-booboo my-brain
cd my-brain
npm install
npm run build # booboo.config.yaml → brain.json (the snapshot)
npm run serve # REST API on http://localhost:8787
npm run mcp # MCP over stdio — point Claude / Cursor / Claude Code at itEdit booboo.config.yaml to point at your own Postgres/Supabase (a commented example ships in the scaffold). Full reference: docs/CONFIG.md · stuck? docs/TROUBLESHOOTING.md.
Roadmap: a single all-in-one command bundling build + REST + MCP + the 3D viewer together, and an interactive scaffold wizard — tracked in LAUNCH_CHECKLIST.md.
What works today
booboo build --config booboo.config.yaml # any postgres/json → one graph snapshot (privacy walls + parent spines)
booboo serve --snapshot my.booboo.json --port 8787 # REST: /graph /stats /search /nodes/:id /neighbors/:id /path/:a/:b
booboo mcp --snapshot my.booboo.json --org org.booboo.json # MCP over stdio (+ booboo_boot: agents boot FROM the org)
booboo view --snapshot my.booboo.json # 3D viewer in your browser — no monorepo, no build step
booboo panel --org org.booboo.json --snapshot my.booboo.json # THE ORGANIGRAM — see below
booboo vault --snapshot my.booboo.json --org org.booboo.json --out vault # the brain as a markdown vault — see belowbooboo view serves the @booboo-brain/viewer 3D renderer as a standalone app — any snapshot (or ?n=1000000 synthetic) in your browser, no monorepo. The build engine was
proven on a real 4,469-node production brain assembled straight from Supabase by config alone —
privacy-walled, validated, served. See each package's README for the details.
Connect it to Claude / Cursor (MCP)
booboo mcp speaks MCP over stdio. Point any MCP client at it — no server to host, it runs on demand:
// Claude Desktop: claude_desktop_config.json · Cursor: .cursor/mcp.json · Claude Code: .mcp.json
{
"mcpServers": {
"booboo": {
"command": "npx",
"args": ["-y", "@booboo-brain/cli", "mcp",
"--snapshot", "my.booboo.json", "--org", "org.booboo.json"]
}
}
}Your agent can now query the whole system — search, neighbors, path, stats — booboo_boot('<agent-id>') returns an agent's rules, memory reach, and reports so it boots from the org, and booboo_remember / booboo_report let it write back durable memories and reports that persist across rebuilds (the live memory system). Point --snapshot/--org at absolute paths if the client's working directory differs.
Tools
Tool | What it does |
| Node/link counts for the whole graph, broken down by layer. |
| Search nodes by label or id (ranked: exact > prefix > substring). Use this first to find a node's id. |
| Fetch a single node (all fields + data) by its exact id. |
| The neighbourhood around a node: connected nodes + links out to |
| Shortest path (chain of nodes) between two node ids; null if unreachable. |
| An agent's boot slice of the organigram: identity, authority chain, inherited rules, bucket access, skills, children. Call this first, every session. |
| The full organigram: every agent, the hierarchy, buckets and rule refs. |
| Write a durable memory — one atomic fact, tied to an agent. Appended to the journal beside the snapshot; queryable the same session, survives every rebuild. |
| Write a report — what an agent just closed. Lands on the panel's Reports timeline. |
booboo_remember/booboo_reportare on by default — the live half of the memory system. Pass--no-write(orBOOBOO_READONLY=1) for a read-only server (public/locked-down deployments); it still reads the journal but refuses writes.
The Organigram — run your agents like a company

booboo panel opens your agent fleet as a real org chart — and the chart is not a diagram, it's the authority. Every agent is a card: its rules, skills, memory-bucket access, and latest reports. Drag an agent under a new parent, hit apply, and the org file changes — versioned in git, validated before every write (a cycle can never land). Agents that boot with booboo_boot obey the new shape on their next session. Reorganize your company at breakfast; the whole fleet knows by the first coffee.
the portfolio timeline | memory, bucket by bucket |
|
|
Five tabs over one org file + one snapshot: organigram (drag-drop hierarchy) · buckets (who remembers what) · reports (what the fleet closed, newest first) · rules (who declares, who inherits) · graph (the 3D brain, embedded). Rules inherit top-down — declare once at a branch, everyone beneath is bound; every dossier shows the inherited stack in boot order.
Reports and buckets fill two ways: live, when an agent calls booboo_remember / booboo_report (durable journal writes, no rebuild), or in bulk from your own tables via config — see docs/CONFIG.md § Wiring fleet reports & memory.
The vault — your brain as plain markdown (Obsidian-ready)
booboo vault emits the same snapshot as a wiki-linked markdown vault: one page per
node with frontmatter and its links, index pages per layer and cluster, an agent dossier
per org member (chain of command, inherited rules, buckets, machines, contract). Open the
folder as an Obsidian vault and you have the "LLM second brain" pattern — except generated
from your real system instead of hand-fed notes. Plain files are the ultimate portability:
any human can read them, any agent from any provider can too. Emit it nightly and the vault
doubles as your insurance copy.
Author links yourself: put [[node-id]] (or [[exact label]]) refs inside a note's text and
set wikilinks: true in the config — the builder turns them into first-class authored edges
that outrank harvested relations, in the graph, the API, the 3D view and the vault. Every build
also prints an ingestion-quality line (authored · orphans · dump-suspects) so curation is
a number, not a vibe.
Your agent knows what to do — the contract ships with the scaffold
npx create-booboo scaffolds AGENTS.md (imported by CLAUDE.md) into the project: the
operating doctrine any AI agent working that folder reads automatically — boot from the org,
one atomic fact per note, author your [[links]], corrections replace, respect the walls,
watch the quality gate, close honestly. A fresh install leaves your agent already fluent in
the brain's conventions; edit the file as your own rules evolve — it is your system's
constitution, versioned next to the org.
Why it's different
The closest things on GitHub each do one layer — good tools, all of them, for their slice:
Whole-system view | REST API | MCP (agents query it) | 3D at 1M nodes | Privacy walls | |
Booboo | ✅ | ✅ | ✅ | ✅ | ✅ |
Graph viewers ( | render only | — | — | ✅ | — |
Note graphs (Obsidian, Logseq) | your notes, not your system (booboo emits an Obsidian vault: | — | plugins | — | — |
Agent frameworks (LangGraph, traces) | flows & runs | ✅ | partial | — | — |
Memory stores (Graphiti, Cognee) | memory only | ✅ | ✅ | — | — |
None fuse wiring + knowledge + episodic memory + agents + crons into one rooted, live, bootable brain that's simultaneously a view, a wallpaper, an API, and an MCP source. That operational fusion is the novel part.
Key in hand (optional — everything above stays free)
Every feature is MIT and always will be. If you'd rather not do the setup yourself:
The Booboo Drop — £29 · key in hand: a folder + operator prompt you paste into Claude Code or Cursor — your agent deploys your brain end-to-end while you answer five questions.
Done-for-you · we map your stack — custom adapters, hosted snapshot, refresh pipeline.
Both are built on this repo, same config schema — never a fork, never a gate.
License
MIT — built to be forked, adapted, and shipped. By Fractional HQ.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- Alicense-qualityAmaintenanceOpen-source MCP memory server providing persistent, cross-platform context for AI tools via a knowledge graph with encrypted storage.Last updated1813AGPL 3.0
- AlicenseBqualityAmaintenanceMulti-agent shared brain MCP server enabling cross-session memory, self-improving skill loops, and inter-agent signaling across Claude, Codex, Gemini, Copilot, and VS Code CLI agents.Last updated1008MIT
- Alicense-qualityAmaintenanceA universal MCP server providing persistent, structured memory through a knowledge graph with graph storage, semantic vector search, and multi-hop traversal for AI agents and IDEs.Last updated1MIT
- Alicense-qualityCmaintenanceA local-first compiled knowledge graph MCP server that provides structured memory for AI agents with full-text search, vector embeddings, and timeline tracking.Last updated7617MIT
Related MCP Connectors
Private-by-default, local-first memory/context/task orchestrator for MCP apps and agents.
Local-first RAG engine with MCP server for AI agent integration.
Person-owned, portable AI memory as a remote MCP server, readable and writable by any MCP client.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/jessymariau/booboo'
If you have feedback or need assistance with the MCP directory API, please join our Discord server

