memory_call_stack
Walk the call stack of a target process thread using the x64 RBP frame-pointer chain. Suspends the thread, reads the CONTEXT to get RBP/RSP/RIP, then follows the linked list of saved_RBP / return_address frames via ReadProcessMemory. Resolves module names using Toolhelp32 module snapshots. Return...
This record as markdown: /tools/io-github-vmoranv-jshookmcp/memory-call-stack.md
What memory_call_stack does on Jshookmcp
AI agents invoke memory_call_stack to trigger actions in Jshookmcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why memory_call_stack is rated High
Suspends external process threads and reads process memory, executing privileged introspection operations.
From the tool's definition Suspends the thread, reads CONTEXT, ReadProcessMemory, resolves modules
Attacks that exploit this kind of access
The rule that runs memory_call_stack safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Jshookmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For memory_call_stack, this is the rule to start with:
memory_call_stack stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Jshookmcp, apply this rule, and every memory_call_stack call is checked against it from then on.
Questions about memory_call_stack
Walk the call stack of a target process thread using the x64 RBP frame-pointer chain. Suspends the thread, reads the CONTEXT to get RBP/RSP/RIP, then follows the linked list of saved_RBP / return_address frames via ReadProcessMemory. Resolves module names using Toolhelp32 module snapshots. Returns an array of {frameIndex, returnAddress, moduleName, functionName}. Equivalent to x64dbg\. It is categorised as a Execute tool in the Jshookmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Jshook MCP server in PolicyLayer and add a rule for memory_call_stack: 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 Jshookmcp. Nothing to install.
memory_call_stack is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the memory_call_stack 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 memory_call_stack. 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.
memory_call_stack is provided by the Jshook MCP server (@jshookmcp/jshook). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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