Unified brain recall (gap #8): fan a query across ALL typed stores — learnings (BM25), the wiki, and the knowledge graph — and return ranked hits each tagged with the store it came from. One call instead of search_learnings + wiki_query + query_* separately. Drill into a hit with the matching typ...
AI agents call knitbrain_brain_search to retrieve information from Knitbrain without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and ranks information from multiple internal stores (learnings, wiki, knowledge graph) but does not create, modify, delete, or execute any operations. It is purely a search/retrieval mechanism with no side effects on stored data.
From the tool's definition Tool description states it 'fan[s] a query across ALL typed stores' and 'return[s] ranked hits'. The verb 'recall', 'search', and 'return' indicate retrieval operations.
Attacks that exploit this kind of access
Unified brain recall (gap #8): fan a query across ALL typed stores — learnings (BM25), the wiki, and the knowledge graph — and return ranked hits each tagged with the store it came from. One call instead of search_learnings + wiki_query + query_* separately. Drill into a hit with the matching typed tool (knitbrain_get_learning / knitbrain_read / knitbrain_query_*). It is categorised as a Read tool in the Knitbrain MCP Server, which means it retrieves data without modifying state.
Register the Knitbrain MCP server in PolicyLayer and add a rule for knitbrain_brain_search: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Knitbrain. Nothing to install.
knitbrain_brain_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the knitbrain_brain_search rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for knitbrain_brain_search. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
knitbrain_brain_search is provided by the Knitbrain MCP server (pdgit12/knitbrain). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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