Query your AI system's wiring, knowledge, memory, agents and crons as one rooted graph over MCP.
Query your AI system's wiring, knowledge, memory, agents and crons as one rooted graph over MCP.
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.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| booboo_stats | Node/link counts for the whole graph, broken down by layer. |
| booboo_count | Counts alone, without pulling the payload — use when sizing a query. |
| booboo_search | Search nodes by label or id (ranked: exact > prefix > substring). Use this first to find a node's id. |
| booboo_node | Fetch a single node (all fields + data) by its exact id. |
| booboo_neighbors | The neighbourhood around a node: connected nodes + links out to depth hops. |
| booboo_path | Shortest path (chain of nodes) between two node ids; null if unreachable. |
| booboo_remember | **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. |
| booboo_report | **Write** a report — what an agent just closed. Lands on the panel's Reports timeline. |
{
"mcpServers": {
"booboo": {
"command": "npx",
"args": ["-y", "@booboo-brain/cli"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Review-gated declarative long-term memory with bounded read-only MCP access.
Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g.…
A tool to convert code snippets into AI prompts for documentation or explanation purposes.
An MCP (Model Context Protocol) server that provides access to AIND (Allen Institute for Neural Dynamics) metadata and data assets through a