mukul975/Anthropic-Cybersecurity-Skills
A comprehensive open-source library featuring 754 structured cybersecurity skills for AI agents, mapped to five industry frameworks to provide expert-level guidance.
Awesome MCP › Security & Reverse Engineering
ant4g0nist/lisa.py
The project "LLDB MCP Integration" provides a Model-Context Protocol (MCP) integration for the LLDB debugger, enabling AI assistants such as Claude to interact with debugging sessions through natural language commands. This integration facilitates a seamless interface where AI can assist developers by translating natural language requests into LLDB commands and returning structured debugging information. The architecture 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 runs inside LLDB exposing debugger functionalities via JSON-RPC. This setup allows AI assistants to perform various debugging tasks such as creating debug targets, launching or attaching to processes, setting and deleting breakpoints, stepping through code, evaluating expressions, reading memory, and retrieving backtraces and variables. The project supports integration with Claude for Desktop, allowing users to configure the MCP server within Claude's settings to enable AI-driven debugging. Alternatively, users can directly integrate the plugin with LLDB by loading it through the LLDB command interface and starting the MCP server for any MCP client to connect. The project requires Python 3.10 or higher, LLDB with Python bindings, and the fastmcp Python package. It offers a rich set of LLDB tools accessible via the MCP server, enabling natural language debugging commands and automation. The README provides detailed installation, setup, usage instructions, example interactions, troubleshooting tips, and credits to related projects. This integration enhances debugging workflows by leveraging AI capabilities to interpret and execute complex debugging commands in a user-friendly manner, making debugging more accessible and efficient.
https://github.com/ant4g0nist/lisa.py
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