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Introducing ntobjmanager-mcp: Stateful Windows RPC Research for AI Agents

ntobjmanager-mcp is an MCP server for Windows RPC research that preserves PowerShell state across calls, allowing agents to reuse clients and returned objects in a multi-step workflow.
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ntobjmanager-mcp is a Model Context Protocol (MCP) server for Windows RPC research that keeps a PowerShell engine alive between tool calls. That lets an AI agent carry RPC clients, variables and returned objects—such as a context handle—through a multi-step investigation instead of rebuilding its working state after each call. It is a tool for orchestrating research, not an automatic vulnerability confirmer.

Why persistent state matters in Windows RPC research

A typical RPC investigation can involve finding an interface, parsing its stub, connecting a client, sending a call, reading the reply and adjusting the next step. As lupingQAQ put it in the September 29, 2026 introduction, “The one thing it cannot give an AI agent is memory.” That is the author’s characterization of generic PowerShell MCP setups, not a user-survey finding. In a workflow that starts a fresh PowerShell session for every request, parsed objects, connected clients and variables needed for a later call may not be available.

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ntobjmanager-mcp addresses that continuity problem by retaining a PowerShell engine across calls. An agent can use one call to inspect or invoke an RPC operation, then pass an object returned by that operation into a later call. This can make a multi-step investigation easier to orchestrate; it does not mean the server independently decides whether a service is vulnerable.

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What ntobjmanager-mcp does

The project describes ntobjmanager-mcp as an MCP server built on James Forshaw’s NtObjectManager and NtCoreLib for Windows RPC research. Its documented workflow brings together several steps that otherwise may require separate commands and state management:

  1. Parse a PE file to identify RPC server interfaces.
  2. Inspect interface methods and NDR parameters.
  3. Discover endpoints or running servers.
  4. Connect an RPC client and call procedures.
  5. Retain clients, variables and returned objects for use in subsequent calls.

The project’s September 2026 introduction described 22 fixed tools. The repository README’s newer description lists 24, including a lab-VM bridge for persistent guest execution. These are counts from two project descriptions at different points in time, not independent measurements of effectiveness. The README also says tool calls are logged to output/mcp_audit.log.

What the documented tool set covers

Beyond the stateful RPC pipeline, the current README groups tools into a lab VM bridge and research helpers intended to support Windows RPC investigation. The listed helpers include:

  • Interface inventory and context-handle scans.
  • Default-value fuzzing, dry-run by default.
  • Checks for interfaces associated with stopped services.
  • ETW-based research into unreachable servers.
  • Interface security checks and ALPC race-capture support.
  • Task inventory, plus PowerShell execution and a persistent guest listener for a lab VM.

These are project-described capabilities and research aids. A scan result or helper output is not, by itself, proof of a vulnerability or of exploitability.

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Safety: live RPC calls can affect services

The project warns that rpc_call invokes real RPC methods and may crash services. Do not use live calls or fuzzing against a production system or a daily-use host. Use an isolated lab VM and test only on systems where you have authorization. The audit log can help preserve a record of tool calls, but it does not make a risky call safe.

Setup and operational limits

Project documentation describes setup using the NtObjectManager PowerShell module, Python dependencies and an MCP client configured to use stdio. The README also identifies limits that matter when planning a workflow:

  • NDR inspection alone cannot establish that two context handles have distinct types or confirm context-handle type confusion.
  • Full rogue-RPC hosting is not supported by the underlying NtObjectManager version described by the project.
  • ETW tracing and some ALPC security checks require administrator rights.
  • Symbol-resolved procedure names depend on the environment.
  • PowerShell 7 is listed as untested.

Those constraints mean results may depend on host configuration and privileges, and some research approaches are outside the documented support. Treat tool output as evidence to inspect and validate, rather than a final security verdict.

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Who may find it useful

ntobjmanager-mcp is aimed at Windows RPC researchers using AI agents who need to carry objects and session state across a series of related calls. Its distinguishing documented feature is the persistent PowerShell session tied to an integrated RPC workflow, with a VM bridge also described in the current README. The project claims these capabilities for itself; the available project descriptions do not establish independent comparative performance against generic PowerShell MCP servers or other RPC workflows.

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