Activate a context and load its memories
AI agents call activate_context to retrieve information from SelfHub MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The primary action is loading/retrieving memories associated with a context. 'Activating' a context likely sets a session state, but the main effect is reading data into memory. There is a minor write aspect (changing active context state), but the dominant operation is data retrieval with no destructive or financial implications.
From the tool's definition Activate a context and load its memories
Attacks that exploit this kind of access
Activate a context and load its memories. It is categorised as a Read tool in the SelfHub MCP Server MCP Server, which means it retrieves data without modifying state.
Register the SelfHub MCP Server MCP server in PolicyLayer and add a rule for activate_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 SelfHub MCP Server. Nothing to install.
activate_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 activate_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 activate_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.
activate_context is provided by the SelfHub MCP Server MCP server (sagargupta16/selfhub). 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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