lisa.py
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This project provides a Model-Context Protocol (MCP) integration for LLDB, allowing AI assistants like Claude to interact with your debugging sessions through a standardized interface.
The LLDB MCP Integration project enables AI assistants to interact with LLDB debugging sessions using a Model-Context Protocol (MCP). It consists of two main components: an MCP server (server.py) that communicates with AI clients like Claude, and an LLDB plugin (lldb_plugin.py) that exposes debugger functionality via JSON-RPC. This setup allows for natural language interaction with LLDB, where the MCP server translates AI requests into LLDB commands and returns results in a structured format. The integration supports various debugging operations such as setting breakpoints, stepping through code, and evaluating expressions, making it a powerful tool for developers seeking to enhance their debugging workflow with AI assistance.
Features
- Natural language interaction with LLDB through AI assistants.
- JSON-RPC based communication for structured command execution.
- Support for a wide range of debugging operations including breakpoints, process control, and expression evaluation.
- Seamless integration with Claude for Desktop for enhanced user experience.
- Direct LLDB integration option for users preferring command-line interaction.
