stass/lldb-mcp

Overview

An MCP server that exposes LLDB debugger capabilities to AI assistants via the Model Context Protocol. It enables natural language control of native code debugging sessions, allowing breakpoints, variable inspection, and step execution through a CLI or IDE integration.

Best for

Best for
Developers who want to debug native code via AI assistants or automate LLDB workflows through MCP-compatible tools

Use cases

• Debugging C/C++ programs using natural language commands in an AI chat interface
• Automating repetitive debug workflows like setting conditional breakpoints or inspecting call stacks
• Integrating LLDB debugging into MCP-compatible editors or assistants for context-aware analysis

Notes

An MCP server that exposes LLDB debugger capabilities to AI assistants via the Model Context Protocol. It enables natural language control of native code debugging sessions, allowing breakpoints, variable inspection, and step execution through a CLI or IDE integration.

100 stars on GitHub. Last updated 2025-03-26. Licensed BSD-2-Clause.

Use cases

• Debugging C/C++ programs using natural language commands in an AI chat interface
• Automating repetitive debug workflows like setting conditional breakpoints or inspecting call stacks
• Integrating LLDB debugging into MCP-compatible editors or assistants for context-aware analysis

Pros

• Open-source Python implementation, easy to inspect and extend
• Simple MCP interface abstracts LLDB complexity for non-expert users
• Works with any MCP client, enabling flexible toolchain integration

Cons

• Requires a working LLDB installation and familiarity with its target environment
• Limited to LLDB-supported platforms (macOS, Linux, iOS/tvOS) and native code debugging
• No built-in GUI or IDE plugin; relies on external MCP client for user interaction

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.