gdb-mcp 1.0.1

Model Context Protocol server for driving GDB from an LLM.

gdb-mcp

Model Context Protocol server that wraps gdb so an LLM can drive live debugging sessions. The server exposes tools for starting a session on a binary, attaching to an existing PID, running ad-hoc commands, batching commands, checking status, and shutting sessions down.

Requires gdb on the host and the mcp python package (v1+).

Setup

You can install either inside a virtualenv (recommended) or directly:

# optional but recommended
python -m venv .venv
. .venv/bin/activate

pip install -e .
# or: pip install .

Running the MCP server

You can start the server directly:

gdb-mcp
# or
python -m gdb_mcp.server

The server uses stdio for transport (the default for most MCP clients). Point your MCP client configuration at the command above.

One-shot client configuration

Run gdb-mcp --install to add the server to any detected MCP-aware clients without editing config files by hand. The installer currently knows how to update:

• Codex CLI (~/.codex/config.toml)
• Claude Desktop configs (common Linux/macOS paths)
• Cursor / Windsurf MCP config files (if present)

Use --install-command /custom/path/to/gdb-mcp or --install-args ... if you need to override what gets written.

Exposed tools

• start_binary(binary_path, args=None, cwd=None, load_init=True, start_timeout=30.0, prompt=None, force_prompt=True) – launch gdb against a target binary (with optional args) and return a session id and the initial banner. Set load_init=False to skip user gdbinit (default is to load it so helpers like GEF/pwndbg remain enabled). Increase start_timeout if loading extensions takes longer to reach the first prompt. Use prompt to force a specific prompt string (defaults cover (gdb), (pwndbg), and gef>). force_prompt sets the prompt to the chosen value after startup to avoid timeouts from customized prompts (e.g., pwndbg); set force_prompt=False if you need to keep your custom prompt unchanged.
• attach_to_pid(pid, cwd=None, load_init=True, start_timeout=30.0, prompt=None, force_prompt=True) – start gdb and attach to a running process (same load_init/timeout/prompt behavior as above).
• gdb_command(session_id, command, timeout_seconds=15.0) – execute a single gdb command in the given session and return the output.
• batch_commands(session_id, commands, timeout_seconds=15.0) – run a list of commands sequentially.
• list_sessions() – get a snapshot of all active sessions.
• session_status(session_id) – check if the gdb process is still alive.
• stop_session(session_id) – shut down the gdb process and remove it.

Each tool returns simple JSON so it is easy to route back into your LLM prompt.

Notes and tips

• The server automatically disables pagination and confirmation prompts and enables pending breakpoints to keep interactions non-blocking.
• timeout_seconds applies per command. If you expect a program to run for a long time, pass a larger timeout or None.
• Output is captured from gdb stdout/stderr until the next (gdb) prompt. If you spawn a program that never returns to the prompt (e.g., it blocks on input), the call will time out.
• Common debugger prompts are detected automatically ((gdb), (pwndbg), gef>), even with ANSI colors. You can still pass a custom prompt if you use something nonstandard. By default the server forces the prompt to a stable value (force_prompt=True) so gdbinit customizations (like pwndbg) don’t prevent the initial prompt from being detected.

Demo

Auto-playing preview:

Source video: docs/media/demo.mp4

Credits

• This project was built for my CSE 598 class, which emphasized using AI/LLMs in our workflow. I leaned on AI to write the entire project—including this README.
• Inspired by https://github.com/mrexodia/ida-pro-mcp, and their server logic was used as a starting point.