Get all summaries for a specific conversation
AI agents call get-conversation-summaries to retrieve information from Memory MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves existing conversation summary data from MongoDB without creating, modifying, deleting, or executing any operations. It is a pure read operation with minimal risk—the only potential concern is exposure of sensitive conversational context, but this is mitigated by typical conversation ownership/access controls.
From the tool's definition Tool name 'get-conversation-summaries' and description 'Get all summaries for a specific conversation' indicate a retrieval operation with no modification or deletion of data.
Documented attack patterns abuse exactly the kind of access get-conversation-summaries gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Memory MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get-conversation-summaries:
{
"version": "1",
"default": "deny",
"tools": {
"get-conversation-summaries": {}
}
} get-conversation-summaries is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get all summaries for a specific conversation. It is categorised as a Read tool in the Memory MCP MCP Server, which means it retrieves data without modifying state.
Register the Memory MCP server in PolicyLayer and add a rule for get-conversation-summaries: 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 Memory MCP. Nothing to install.
get-conversation-summaries 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 get-conversation-summaries 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 get-conversation-summaries. 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.
get-conversation-summaries is provided by the Memory MCP server (jamesanz/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Memory MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
10 Memory MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.