Low Risk

get-conversation-summaries

Get all summaries for a specific conversation

How to control get-conversation-summaries ↓

What get-conversation-summaries does on Memory MCP

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.

Low Risk

Why get-conversation-summaries needs a policy

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:

How to control get-conversation-summaries

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:

policy.json
{
  "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.

  1. Create a free account and register Memory MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about get-conversation-summaries

What does the get-conversation-summaries tool do? +

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.

How do I enforce a policy on get-conversation-summaries? +

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.

What risk level is get-conversation-summaries? +

get-conversation-summaries is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get-conversation-summaries? +

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.

How do I block get-conversation-summaries completely? +

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.

What MCP server provides get-conversation-summaries? +

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.

Enforce policy on every Memory MCP tool call.

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.

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