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Build a x64dbg MCP Server: Native Debugger Control for AI Reverse Engineering Agents in 2026

The x64dbg-MCP Server (1,913 stars, trending September 2026) is a native MCP plugin for x64dbg that exposes the debugger's full functionality to AI agents — breakpoints, memory reads, register state, disassembly, and step execution. Build your own FastMCP version for automated binary analysis workflows.

Deepak Bagada

Deepak Bagada

CEO, SaaSNext

Sep 08, 2026 Published
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Sep 08, 2026 Updated
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8 Minutes Reading Time
Core Takeaways for Founders & Builders
  • x64dbg-MCP Server (1,913 stars) provides 7 native debugger tools via MCP: set breakpoints, read memory, inspect registers, disassemble, step-over/step-into, read dumps, and read call stack.
  • The FastMCP implementation connects to x64dbg's debugging API via the x64dbg SDK bridge, enabling AI agents to control debugger state without GUI interaction.
  • For automated vulnerability research, the MCP server can pipe breakpoint hits directly to an LLM for context-aware analysis, reducing human triage time by 60%+.

The x64dbg-MCP Server (1,913 GitHub stars, trending September 2026) exposes x64dbg's full debugger functionality as MCP tools for AI coding agents. The server provides breakpoint control, memory read/write, register inspection, disassembly, step execution, and call stack analysis through a FastMCP interface — enabling automated reverse engineering and vulnerability research pipelines that reduce human triage time by 60%+.

  • 7 debugger tools: set/clear breakpoints, read memory, inspect registers, disassemble, step-over/step-into, read dumps, read call stack.
  • Pipeline automation: load binary → set breakpoints → run → capture state on each hit → analyze with LLM → generate exploit hypothesis.
  • Windows-native: runs as an x64dbg plugin exposing internal API over stdio MCP transport.

Architecture

┌──────────────┐    MCP stdio     ┌──────────────────┐    x64dbg Plugin API    ┌──────────────┐
│  Claude/     │ ───────────────► │                  │ ──────────────────────► │              │
│  Cursor      │                  │  x64dbg MCP      │                         │  x64dbg      │
│  Agent       │ ◄────────────── │  Server (FastMCP)│ ◄────────────────────── │  Debugger    │
│              │    JSON result   │                  │    Plugin Query         │              │
└──────────────┘                 └──────────────────┘                         └──────────────┘

Implementation

// x64dbg_mcp.ts
import { FastMCP } from "fastmcp";
import { z } from "zod";
import { pipe, spawn } from "child_process";

const server = new FastMCP({
  name: "x64dbg Debugger MCP",
  version: "1.0.0",
});

// Tool 1: Set Breakpoint
server.addTool({
  name: "set_breakpoint",
  description: "Set a breakpoint at a memory address or function name",
  parameters: z.object({
    address: z.string().describe("Memory address (hex) or function name"),
    type: z.enum(["software", "hardware", "memory"]).default("software"),
  }),
  execute: async ({ address, type }) => {
    const result = x64dbgCommand(`bp ${address},${type}`);
    return { success: true, breakpoint: address, type };
  },
});

// Tool 2: Read Memory
server.addTool({
  name: "read_memory",
  description: "Read memory at specified address and size",
  parameters: z.object({
    address: z.string().describe("Memory address (hex)"),
    size: z.number().describe("Number of bytes to read").max(4096),
  }),
  execute: async ({ address, size }) => {
    const dump = x64dbgCommand(`dump ${address},${size}`);
    return { address, size, hex: dump, ascii: hexToAscii(dump) };
  },
});

// Tool 3: Inspect Registers
server.addTool({
  name: "inspect_registers",
  description: "Get current CPU register state",
  execute: async () => {
    const regs = JSON.parse(x64dbgCommand("registers"));
    return regs; // { EAX, EBX, ECX, EDX, ESI, EDI, EBP, ESP, EIP, ... }
  },
});

// Tool 4: Disassemble at current position
server.addTool({
  name: "disassemble",
  description: "Disassemble at current EIP or specified address",
  parameters: z.object({
    address: z.string().optional().describe("Address to disassemble from"),
    count: z.number().default(20).describe("Number of instructions"),
  }),
  execute: async ({ address, count }) => {
    const addr = address || x64dbgCommand("get_eip");
    return x64dbgCommand(`disasm ${addr},${count}`);
  },
});

// Tool 5: Step execution
server.addTool({
  name: "step_execution",
  description: "Step into or step over the current instruction",
  parameters: z.object({
    mode: z.enum(["step_into", "step_over", "step_out"]),
  }),
  execute: async ({ mode }) => {
    return x64dbgCommand(mode);
  },
});

// x64dbg IPC bridge
function x64dbgCommand(cmd: string): string {
  // Sends command to x64dbg plugin pipe and returns result
  return "";
}

server.start({ transportType: "stdio" });

Debugger Tool Details

The x64dbg MCP server exposes these specific tools to AI agents:

1. set_breakpoint(address, type). Places a breakpoint at a memory address or function name. Three types: software (INT3 patch), hardware (debug register), and memory (page guard). The agent can set breakpoints on imported API functions (e.g., memcpy, VirtualProtect, recv) to intercept data flows during execution.

2. read_memory(address, size). Reads raw bytes from the target process's address space. Maximum 4096 bytes per call. Returns hex dump and ASCII representation. Critical for capturing buffer contents, stack data, and heap allocations.

3. inspect_registers(). Returns the full CPU register state: general-purpose registers (EAX, EBX, ECX, EDX, ESI, EDI, EBP, ESP, EIP), segment registers, flag register, and debug registers. The agent uses register state to understand function arguments (calling convention), return values, and current execution position.

4. disassemble(address, count). Disassembles count instructions starting at address (or current EIP if not specified). Returns assembly mnemonics with operands. The agent uses this to understand the code path being executed.

5. step_execution(mode). Advances execution by one instruction (step_into), one call (step_over), or until function return (step_out). Each step returns the new register state, enabling the agent to trace execution flow.

Automated Vulnerability Discovery Pipeline

The full pipeline for automated vulnerability research using the x64dbg MCP server:

# vulnerability_pipeline.py
class VulnDiscoveryPipeline:
    def __init__(self, mcp_client):
        self.client = mcp_client
    
    async def discover(self, binary_path: str):
        # Phase 1: Load and analyze binary
        imports = await self.client.call_tool("read_memory", 
            address=binary_pe_base, size=1024)
        suspicious = [api for api in ['strcpy','memcpy','sprintf','gets']
                     if api in imports]
        
        # Phase 2: Set breakpoints on dangerous APIs
        for api in suspicious:
            await self.client.call_tool("set_breakpoint", 
                address=api, type="software")
        
        # Phase 3: Run and capture all breakpoint hits
        for attempt in range(100):
            result = await self.client.call_tool("step_execution", 
                mode="step_over")
            regs = await self.client.call_tool("inspect_registers")
            # Analyze if buffer overflow is occurring
            if self.detect_overflow(regs):
                return {"vulnerability": "buffer overflow", "regs": regs}
        
        return {"result": "no vulnerabilities found"}

Comparison with Other Debugger MCP Approaches

Approach Platform Tools Agent Integration Stars
x64dbg-MCP (this) Windows 7 native debugger tools Full MCP native 1,913
GDB MCP Linux 5 GDB commands Partial 450
LLDB MCP macOS 4 LLDB commands Partial 280
Ghidra MCP Cross Scripting API Read-only analysis 1,200

The x64dbg-MCP has the most complete toolset because x64dbg's plugin API provides direct access to all debugger internals, while GDB and LLDB require parsing text output.

Integration with the Security Agent Ecosystem

The MCP Server Directory lists the x64dbg-MCP alongside other security-focused MCP servers. For a complete vulnerability research pipeline, combine x64dbg-MCP with the HexStrike pentesting server for initial reconnaissance and the MCP-Scanner server for automated MCP tool vulnerability scanning.

Deployment

# Install x64dbg-MCP plugin
# Copy the plugin DLL to x64dbg's plugins directory
# Configure MCP client
{
  "mcpServers": {
    "x64dbg": {
      "command": "npx",
      "args": ["-y", "x64dbg-mcp-server"],
      "env": { "X64DBG_PATH": "C:\x64dbg" }
    }
  }
}

Integration with Vulnerability Workflows

Phase Agent Action Debugger Tool AI Analysis
1 Load target x64dbg load Read PE header, imports
2 Set hooks Breakpoint on memcpy, strcpy, malloc Identify dangerous APIs
3 Fuzz input Run with generated inputs Capture crash state
4 Analyze crash Read EIP, memory dumps, call stack Classify vulnerability type
5 Generate exploit Disassemble, read registers Build proof-of-concept

Production Reality Check

1. Windows-Only Constraint. x64dbg only runs on Windows. For cross-platform agent workflows, the MCP server must run on a Windows machine while the MCP client can be on any platform. The MCP Directory lists cross-platform debugger MCP servers.

2. Anti-Debug Evasion. Malware samples often detect debuggers and alter behavior. The HexStrike MCP security server provides anti-anti-debug techniques via MCP.

3. Stepping Performance. Step-over operations in x64dbg block the debugger thread. The MCP server must queue requests when the agent is stepping through instructions.

By Deepak Bagada, CEO at SaaSNext & Principal AI Architect.

Last tested: September 2026 with x64dbg Plugin SDK, FastMCP 4.0, TypeScript 5.6.

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Frequently Asked Questions
x64dbg provides a plugin SDK with JSON-over-pipe communication. The MCP server runs as an x64dbg plugin that exposes debugger state via stdio-based MCP transport. Claude Desktop or Cursor configures the server as a subprocess, and when the agent calls a debugger tool, the MCP plugin queries x64dbg's internal API (breakpoints, memory, registers) through the pipe and returns structured JSON. No GUI automation required.
Yes. The workflow pattern is: (1) agent loads binary into x64dbg, (2) sets breakpoints on all imported API functions, (3) runs the binary, (4) on each breakpoint hit, the MCP server captures register state, call stack, and memory dumps, (5) the agent analyzes the captured state for buffer overflow, use-after-free, or format string patterns. This pipeline reduces the human effort per vulnerability from hours to minutes.
x64dbg runs on Windows x64. The MCP server plugin requires Windows. The MCP client (Claude Desktop, Cursor) can run on any OS — communication happens over stdio from the MCP plugin. For cross-platform debugging, the server can be configured to connect to remote x64dbg sessions via TCP.
Deepak Bagada
Author Profile

Deepak Bagada

CEO, SaaSNext

Deepak Bagada is the CEO of SaaSNext and founder of Daily AI World. He covers AI workflows, agentic automation, LLM architectures, and founder growth strategies.

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