Parse AI metadata from a file
AI agents call parse_file_metadata to retrieve information from MCP Memory Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool reads and parses metadata from a file without modifying it. 'Parse' implies a read-only operation that extracts information. No side effects are described, and it fits the pattern of other read tools on this server like 'get_file_changelog' and 'get_file_approval_status'.
From the tool's definition Parse AI metadata from a file
Attacks that exploit this kind of access
Parse AI metadata from a file. It is categorised as a Read tool in the MCP Memory Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Memory Server MCP server in PolicyLayer and add a rule for parse_file_metadata: 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 MCP Memory Server. Nothing to install.
parse_file_metadata 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 parse_file_metadata 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 parse_file_metadata. 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.
parse_file_metadata is provided by the MCP Memory Server MCP server (keleshteri/mcp-memory). 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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