Export a session as markdown, text, or JSON.
AI agents call ultrabrain_export to retrieve information from Ultrabrain without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool reads and serializes an existing session into a specified format (markdown, text, or JSON). This is a pure read/retrieval operation with no side effects — it does not modify, delete, or execute anything. Severity is low because the worst-case misuse is leaking reasoning session data, which has minimal blast radius.
From the tool's definition Export a session as markdown, text, or JSON
Attacks that exploit this kind of access
Export a session as markdown, text, or JSON. It is categorised as a Read tool in the Ultrabrain MCP Server, which means it retrieves data without modifying state.
Register the Ultrabrain MCP server in PolicyLayer and add a rule for ultrabrain_export: 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 Ultrabrain. Nothing to install.
ultrabrain_export 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 ultrabrain_export 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 ultrabrain_export. 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.
ultrabrain_export is provided by the Ultrabrain MCP server (lcv-ideas-software/ultrabrain-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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