Low Risk

context_analyze

Analyze context to extract entities and relationships

How to control context_analyze ↓

What context_analyze does on MCP Memory Keeper

AI agents call context_analyze to retrieve information from MCP Memory Keeper without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why context_analyze needs a policy

The tool performs analysis and extraction of data from existing context, which is a retrieval operation with no side effects. It does not create, modify, delete, execute code, or involve financial operations. The word 'analyze' and 'extract' confirm this is an observational Read operation on context data.

From the tool's definition Tool name 'context_analyze' and description 'Analyze context to extract entities and relationships' indicate a read-only operation that examines and extracts information from stored context without modifying or deleting it.

Documented attack patterns abuse exactly the kind of access context_analyze gives an agent:

How to control context_analyze

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Memory Keeper, and nothing reaches the server without passing your rules. This is the rule we recommend for context_analyze:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "context_analyze": {}
  }
}

context_analyze 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 MCP Memory Keeper — 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 context_analyze

What does the context_analyze tool do? +

Analyze context to extract entities and relationships. It is categorised as a Read tool in the MCP Memory Keeper MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on context_analyze? +

Register the MCP Memory Keeper MCP server in PolicyLayer and add a rule for context_analyze: 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 Keeper. Nothing to install.

What risk level is context_analyze? +

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

Can I rate-limit context_analyze? +

Yes. Add a rate_limit block to the context_analyze 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 context_analyze completely? +

Set action: deny in the PolicyLayer policy for context_analyze. 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 context_analyze? +

context_analyze is provided by the MCP Memory Keeper MCP server (mkreyman/mcp-memory-keeper). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Memory Keeper tool call.

Start from MCP Memory Keeper, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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40 MCP Memory Keeper tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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