Assemble relevant context for a task. Returns identity memories, relevant domain/process memories, and optionally suggested prompts and workflows. Call this before starting any complex task.
AI agents call memory.context to retrieve information from Sovereign Universal Memory MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
memory.context retrieves and assembles existing stored memories to provide context for tasks. It has no side effects, does not modify data, does not execute external operations, and does not delete information. This is a straightforward Read operation analogous to a search or fetch function. The 'optionally suggested' aspect (prompts and workflows) is advisory output, not an action performed by the tool itself.
From the tool's definition Tool description states it 'Returns identity memories, relevant domain/process memories, and optionally suggested prompts and workflows' — purely retrieval/assembly of stored data with no modification or deletion.
Attacks that exploit this kind of access
Assemble relevant context for a task. Returns identity memories, relevant domain/process memories, and optionally suggested prompts and workflows. Call this before starting any complex task. It is categorised as a Read tool in the Sovereign Universal Memory MCP MCP Server, which means it retrieves data without modifying state.
Register the Sovereign Universal Memory MCP server in PolicyLayer and add a rule for memory.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 Sovereign Universal Memory MCP. Nothing to install.
memory.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 memory.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 memory.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.
memory.context is provided by the Sovereign Universal Memory MCP server (nnaveenraju/sovereign-universal-memory-mcp). 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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