instances_use previously called register_instance which made a
blocking safe_get (30s timeout) to validate the connection. If the
Ghidra server was slow or unresponsive, this could hang the MCP tool
call indefinitely from the client's perspective.
Now instances_use creates a lazy stub entry and sets the port
immediately — pure in-memory, no network I/O. The first actual tool
call validates the connection naturally.
Also fix background discovery thread using request_timeout (30s)
instead of discovery_timeout (0.5s) per port — worst case went from
300s to 5s per scan cycle.
Allows AI clients to submit feedback about tool quality, report issues,
and track statistics. Persists to ~/.ghydramcp/feedback.db (SQLite).
- Add fastmcp-feedback dependency
- Add feedback_enabled / feedback_db_path config fields
- Wire add_feedback_tools() into create_server() with graceful fallback
- Show feedback path in startup banner
Disable with GHYDRA_FEEDBACK=false
- Add ghydramcp Python package with FastMCP server implementation
- Add docker-compose.yml for easy container management
- Add Makefile with build/run targets
- Add QUICKSTART.md for getting started
- Add uv.lock for reproducible dependencies
