AI agents call recall_context to retrieve information from Memora without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The name 'recall_context' strongly implies reading or retrieving data from the knowledge graph (consistent with sibling tools like 'search', 'get_entity', 'list_projects'). No description is provided to confirm side effects. Given the server's purpose as a session memory store, this is most likely a read operation.
From the tool's definition Tool name 'recall_context' suggests retrieval of stored context/memory; description is empty and uninformative.
Attacks that exploit this kind of access
recall_context. It is categorised as a Read tool in the Memora MCP Server, which means it retrieves data without modifying state.
Register the Memora MCP server in PolicyLayer and add a rule for recall_context: 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 Memora. Nothing to install.
recall_context 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 recall_context 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 recall_context. 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.
recall_context is provided by the Memora MCP server (vnemaidev/memora). 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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