Lldb Mcp

1 MIT

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AI Systems

#lldb#model-context-protocol

MCP LLDB Server enables LLDB debugging for AI assistants like Claude.

What is Lldb Mcp

LLDB_MCP is a Model Context Protocol (MCP) server that enables LLDB debugging capabilities for AI assistants like Claude.

Use cases

Use cases include debugging applications, analyzing core dumps, and assisting developers in real-time during coding sessions with AI support.

How to use

To use LLDB_MCP, configure the MCP settings in the Claude app or browser extension to include the server, then restart Claude or refresh the page to access LLDB tools during conversations.

Key features

Key features include starting and managing LLDB sessions, loading programs and core dumps, setting breakpoints, stepping through code, examining memory, and executing arbitrary LLDB commands.

Where to use

LLDB_MCP is primarily used in software development and debugging environments, particularly when integrating AI assistants with debugging tools.

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 Lldb Mcp

LLDB_MCP is a Model Context Protocol (MCP) server that enables LLDB debugging capabilities for AI assistants like Claude.

Use cases

Use cases include debugging applications, analyzing core dumps, and assisting developers in real-time during coding sessions with AI support.

How to use

To use LLDB_MCP, configure the MCP settings in the Claude app or browser extension to include the server, then restart Claude or refresh the page to access LLDB tools during conversations.

Key features

Key features include starting and managing LLDB sessions, loading programs and core dumps, setting breakpoints, stepping through code, examining memory, and executing arbitrary LLDB commands.

Where to use

LLDB_MCP is primarily used in software development and debugging environments, particularly when integrating AI assistants with debugging tools.

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

MCP LLDB Server

A Model Context Protocol (MCP) server that provides LLDB debugging functionality for use with Claude or other AI assistants.

Example with claude

Features

Start and manage LLDB debugging sessions
Load programs and core dumps for analysis
Set breakpoints, step through code, and examine memory
View call stacks, variables, and registers
Execute arbitrary LLDB commands

Installation

# Clone the repository
git clone [email protected]:ankur106/LLDB_MCP.git

cd LLDB_MCP

# Install dependencies
npm install

# Build the project
npm run build

Usage

Using with Claude or other MCP-enabled assistants

Configure the MCP settings in the Claude desktop app or browser extension to include this server:

{
  "mcpServers": {
    "lldb": {
      "command": "node",
      "args": [
        "/path/to/LLDB_MCP/build/index.js"
      ],
      "disabled": false
    }
  }
}

Restart Claude or refresh the page.
Now you can use the LLDB tools in your conversations with Claude.

Supported LLDB Commands

lldb_start: Start a new LLDB session
lldb_load: Load a program into LLDB
lldb_command: Execute an arbitrary LLDB command
lldb_terminate: Terminate an LLDB session
lldb_list_sessions: List all active LLDB sessions
lldb_attach: Attach to a running process
lldb_load_core: Load a core dump file
lldb_examine: Examine memory
lldb_info_registers: Display registers
lldb_set_breakpoint: Set a breakpoint
lldb_continue: Continue program execution
lldb_step: Step program execution
lldb_backtrace: Show call stack
lldb_print: Print value of expression
lldb_next: Step over function calls
lldb_finish: Execute until the current function returns
lldb_run: Run the program
lldb_frame_info: Get information about the current stack frame
lldb_disassemble: Disassemble the current function

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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