Low Risk

memory_read

Read raw bytes from the target system

How to control memory_read ↓

What memory_read does on Nevercheese Pcileech Memprocfs

AI agents call memory_read to retrieve information from Nevercheese Pcileech Memprocfs without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why memory_read needs a policy

This tool retrieves data (raw bytes from system memory) without side effects, placing it in the Read category. Severity is elevated to 'high' because DMA-based memory access can expose sensitive data (cryptographic keys, credentials, encryption states, personal information) across arbitrary processes and kernel space, making unauthorized memory reads a serious privacy and security violation despite the lack of…

From the tool's definition Tool name 'memory_read' and description 'Read raw bytes from the target system' indicate data retrieval with no modification or deletion.

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

How to control memory_read

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

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

memory_read 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 Nevercheese Pcileech Memprocfs — 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.
CAP THIS TOOL →

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Related tools and policies

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Questions about memory_read

What does the memory_read tool do? +

Read raw bytes from the target system. It is categorised as a Read tool in the Nevercheese Pcileech Memprocfs MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on memory_read? +

Register the Nevercheese Pcileech Memprocfs MCP server in PolicyLayer and add a rule for memory_read: 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 Nevercheese Pcileech Memprocfs. Nothing to install.

What risk level is memory_read? +

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

Can I rate-limit memory_read? +

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

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

memory_read is provided by the Nevercheese Pcileech Memprocfs MCP server (neverdecel/nevercheese-pcileech-memprocfs-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Nevercheese Pcileech Memprocfs tool call.

Start from Nevercheese Pcileech Memprocfs, 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.

37 Nevercheese Pcileech Memprocfs tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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