X64dbg Mcp

16 MIT

FreeCommunity

AI Systems

An MCP server for the x64dbg debugger

What is X64dbg Mcp

x64dbg-mcp is a simple MCP server designed for the x64dbg debugger, allowing it to connect with AI agents for enhanced debugging capabilities.

Use cases

Use cases for x64dbg-mcp include automating repetitive debugging tasks, enhancing debugging with AI insights, and facilitating collaboration between developers and AI tools.

How to use

To use x64dbg-mcp, set up the MCP server alongside the x64dbg debugger and configure it to connect with your preferred AI agents for automated debugging tasks.

Key features

Key features include seamless integration with x64dbg, support for multiple AI agents, and automation of debugging processes to improve efficiency.

Where to use

x64dbg-mcp can be used in software development, reverse engineering, and security research, particularly in scenarios requiring advanced debugging techniques.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is X64dbg Mcp

x64dbg-mcp is a simple MCP server designed for the x64dbg debugger, allowing it to connect with AI agents for enhanced debugging capabilities.

Use cases

Use cases for x64dbg-mcp include automating repetitive debugging tasks, enhancing debugging with AI insights, and facilitating collaboration between developers and AI tools.

How to use

To use x64dbg-mcp, set up the MCP server alongside the x64dbg debugger and configure it to connect with your preferred AI agents for automated debugging tasks.

Key features

Key features include seamless integration with x64dbg, support for multiple AI agents, and automation of debugging processes to improve efficiency.

Where to use

x64dbg-mcp can be used in software development, reverse engineering, and security research, particularly in scenarios requiring advanced debugging techniques.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

x64dbg MCP server

A simple MCP server for x64dbg_automate, to connect the debugger to your favourite AI agents.

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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