Analyze context to extract entities and relationships
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.
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:
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:
{
"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.
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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.
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.
context_analyze 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 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.
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.
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.
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.