mcpField
N
ntobjmanager-mcp

ntobjmanager-mcp

Local
github.comSecurity16Updated 4w ago

About ntobjmanager-mcp

ntobjmanager-mcp is a stateful MCP server for Windows RPC attack-surface research by security researchers. It combines persistent RPC sessions, VM lab execution, and fixed tools for published CVE research methods.

Key features

  1. 01Persistent RPC clients and sessions
  2. 02RPC parsing and endpoint discovery
  3. 03CVE research workflow tools
  4. 04Stateful PowerShell execution in lab VMs
  5. 05Audit logging for tool calls

Use cases

  1. 01Inspect RPC interfaces in Windows binaries
  2. 02Test context-handle behavior across calls
  3. 03Inventory endpoints and stopped-service interfaces
  4. 04Run RPC research inside an isolated lab VM

MCP support

It exposes 24 tools to MCP clients over stdio for Windows RPC research, including parsing, enumeration, connection, invocation, fuzzing, and VM execution. RPC sessions and stored objects persist across calls.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

🛰️ NtObjectManager-MCP

Stateful Windows RPC Research MCP — 2024–2026 CVE methodologies as one-click tools

Python License PowerShell MCP

🌐 中文版


What is NtObjectManager-MCP?

A Model Context Protocol server that gives an AI agent live, stateful access to Windows RPC attack-surface research, built on James Forshaw's NtObjectManager (NtCoreLib).

Three things a generic PowerShell MCP cannot do — and the reason this exists:

  1. Stateful RPC connections — a persistent PowerShell engine keeps parsed RpcServer objects and connected RPC clients alive across tool calls: rpc_connect once, rpc_call many times (auth handshakes, context-handle chains, session variables survive).
  2. CVE methodology as fixed tools — the standard hunting workflows from 2024–2026 public research are one-click, not prompt-engineering.
  3. Stateful execution inside a lab VM — the same one-engine principle applied in the guest: rpc_vm_exec keeps variables and connected RPC clients alive across calls through a single persistent guest runspace, never a fresh shell per call (the vmrun fallback is reported as stateful: false).
┌────────────────────────────────────────────────────────────────────┐
│  AI Agent (Claude Code / OpenCode / any MCP client)                │
│      │  MCP (stdio, 24 tools)                                      │
│      ▼                                                             │
│  server.py ── snippets.py (PS templates, @@TOKEN@@ + ps_str escape)│
│      │                                                             │
│      ▼                                                             │
│  ps_engine.py ── persistent powershell.exe (base64 + __MCP_DONE__) │
│      │            state: $RPCMCP = @{ Servers; Clients; vars }     │
│      ▼                                                             │
│  NtObjectManager / NtCoreLib  ──►  RPC runtime (ALPC / pipe / TCP) │
└────────────────────────────────────────────────────────────────────┘

Tool Matrix (24)

Core stateful pipeline
ToolPurpose
rpc_parse(file, symbol_path?)Parse a PE for RPC servers, cache (keys file_N)
rpc_state()Cached servers + live sessions
rpc_get_interface(key)Procedures, NDR params, context handles, strictness
rpc_query_endpoints(ifid?, search_binding?, find_alpc_port?)EPM query (local or remote)
rpc_running_servers(pid?/service?)Live process/service enumeration
rpc_connect(session, key, binding?, auth?)Generate + connect client (stateful)
rpc_methods(session)Signatures with opnum mapping
rpc_call(session, method, args_json, store_as?)Reflection invoke; {"__var__"} passes stored objects
rpc_disconnect(session)Drop session
VM lab bridge (stateful guest execution)
ToolPurpose
rpc_vm_exec(ps, timeout?, vm?)Run PowerShell inside a lab VM; state survives across calls (persistent guest runspace)
rpc_vm_start_listener(vm?)Deploy/start the persistent guest HTTP engine (vm_listener.ps1)
2024–2026 CVE methodology tools
ToolMethodology source
rpc_scan_context_handles(paths)Context-handle type confusion — CVE-2025-48815 pattern (whereisk0shl 2026)
rpc_inventory(paths?, limit?)Attack-surface inventory + EPM cross-check — MS-RPC-Fuzzer phase 1 (CVE-2025-26651)
rpc_fuzz(session, dry_run=True)Primitive-only default-value fuzzing with ok/denied/error classification — dry-run by default
rpc_find_hijackable()Unregistered interfaces of stopped services — EPM poisoning / RPC-Racer (CVE-2025-49760/59200/59230)
rpc_etw_unreachable(duration, trigger_script?)Clients calling dead servers — PhantomRPC (Kaspersky 2026), admin required
rpc_interface_security(key)ALPC SD / anonymous-ACE audit — MS-NRPC null session (SafeBreach/Securelist 2025)
rpc_decode_flags(flags)RpcServerRegisterIf3 flag bitmask decoding
rpc_format_client(key)Export generated C# client source (offline grep workflow)
rpc_new_struct(session, type, store_as)Build NDR complex types as session vars
rpc_alpc_squat(name, duration)ALPC port squat + connection capture (race validation primitive)
rpc_accessible_tasks()User-startable tasks (Dark-Elevator chain material, CVE-2026-66804 pattern)
rpc_vars / rpc_clear_cacheSession-variable and cache management (eviction cap 150)

Every tool call is appended to output/mcp_audit.log.

Field-Tested (real machine, full hunting round)

CandidateResult
srvsvc.dll 98716d03… flagged HIGHIdentified as XactSrv (XsOpenPrinter/XsClosePrinter/XsAddJob/XsScheduleJob) — single printer-handle type; live probe: non-admin connect OK but XsOpenPrinter → ACCESS_DENIED (authorization gate works). Scanner false-positive mode documented
ssdpsrv.dll (CVE-2025-48815 original)All 20 context handles strict — patched state on current builds
51-module sweep31 findings, 6 HIGH, all "one producer → many consumers"; NDR layer cannot prove multi-type handles (needs RE)
EPM hijack surface10 stopped services with unregistered interfaces (AppIDSvc, ClipSVC, dcsvc…)
Task chains44 user-startable SYSTEM tasks inventoried
VerdictNo confirmable exploitable vuln on the tested host — with per-step evidence

🚀 Quick Start

# 1) Prerequisites (one-time)
Install-Module NtObjectManager -Scope CurrentUser -Force
pip install -r requirements.txt            # mcp>=1.2.0 (1.x / 2.x compatible)

# 2) Verify — three suites, all green
python tests\smoke_test.py                 # 17 checks (live MCP stdio round-trip)
python tests\var_test.py                   # 10 checks (store_as / __var__ mechanics)
python tests\audit.py                      # 43 checks (edge cases, hostile paths, concurrency)

# 3) Run the server
python server.py                           # stdio MCP

Claude Code:

claude mcp add ntobjectmanager-rpc -- python C:\path\to\ntobjmanager-mcp\server.py

Any MCP client (e.g. OpenCode opencode.json):

{
  "mcp": {
    "ntobjectmanager-rpc": {
      "type": "local",
      "command": ["python", "C:\\path\\to\\ntobjmanager-mcp\\server.py"],
      "enabled": true
    }
  }
}

Example: context-handle type confusion (CVE-2025-48815 pattern)

1. rpc_parse  C:\Windows\System32\target.dll  [symbol_path optional]
2. rpc_scan_context_handles ["C:\\Windows\\System32\\target.dll"]
3. rpc_get_interface target_0                 → producer ([out] ctx) / consumer ([in] ctx) pairs
4. rpc_connect s1 target_0                    → auto-discovers binding via EPM
5. rpc_methods s1                            → opnum-mapped signatures
6. rpc_call s1 XsOpenPrinter-like args store_as="h"   → keep the raw handle object
7. rpc_call s1 XsClosePrinter-like [{"__var__":"h"}] → feed it to the other type

store_as / {"__var__"} is the core chain primitive: RPC return objects flow between calls without serialization round-trips, which is exactly what producer→consumer handle-confusion testing needs.

📁 Project Structure

ntobjmanager-mcp/
├── server.py            # 24 MCP tools + audit logging wrapper
├── snippets.py          # PowerShell templates (@@TOKEN@@ render + ps_str escaping)
├── ps_engine.py         # Persistent engine: base64 cmds + __MCP_DONE__ markers, timeouts
├── wrapper.ps1          # PS-side loop (state lives in $RPCMCP)
├── vm_listener.ps1      # Persistent guest HTTP bridge (stateful VM exec)
├── tests/
│   ├── smoke_test.py    # 17 checks — live stdio end-to-end
│   ├── var_test.py      # 10 checks — store_as/__var__ object passing
│   ├── audit.py         # 43 checks — hostile inputs, concurrency, engine kill/restart
│   ├── hunt.py          # Full dogfood hunting round (safe policy)
│   ├── hunt2_static.py  # Deep-dive: symbols + producer/consumer map
│   ├── hunt2_wide.py    # 51-module sweep
│   └── hunt2_probe.py   # Safe runtime probes (exposure / task cross-ref)
├── ARCHITECTURE.md      # Engine protocol + design decisions
├── CHANGELOG.md         # Decision history (R1–R13)
├── SECURITY.md          # Authorized-use policy + MSRC disclosure
├── CONTRIBUTING.md      # Development invariants
└── LICENSE              # MIT

🛡️ Honest Capability Boundaries

ClaimStatus
Stateful clients across tool callsYes — persistent engine + $RPCMCP
Stateful execution inside a lab VMYes — one persistent guest runspace (rpc_vm_exec); the vmrun fallback is stateless
Context-handle chaining (producer → consumer)Yes — store_as / __var__ raw-object passing
Auto-confirm type confusionNo — NDR cannot prove distinct handle types; verify via RE (see XactSrv case)
Full rogue-RPC hostingNo — NtObjectManager 2.0.1 ships no server builder; rpc_alpc_squat covers race-capture only
ETW tracing / ALPC SDDLRequires admin (logman / SeDebugPrivilege)
Symbol-resolved procedure namesEnvironment-dependent (symsrv chain); heuristic fallback names otherwise
Runs anywhere but Windows PS 5.1Not yet (pwsh 7 untested)

📖 Documentation

  • ARCHITECTURE.md — engine protocol, state model, design decisions
  • CHANGELOG.md — R1–R13 decision history incl. two PS 5.1 marshaling bugs
  • SECURITY.md — authorized use, VM isolation, MSRC disclosure
  • CONTRIBUTING.md — development invariants and test requirements

⚠️ Disclaimer

For lawful security research, education, and authorized testing only. rpc_call invokes real RPC methods and can crash services — run it against an isolated VM, never a production or daily-driver host. Vulnerabilities found through this tool must follow responsible disclosure (MSRC).

📄 License

MIT — Copyright (c) 2026 ntobjmanager-mcp Contributors

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.