pyslang-mcp is a read-only Model Context Protocol server for compiler-backed Verilog and SystemVerilog analysis. It u...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Universal
Model
Multiple
Fastest way to find out if pyslang-mcp belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/ariklapid/pyslang-mcp ~/.claude/commands/pyslang-mcpRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/commands/pyslang-mcpNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ │ └─ pyslang-mcp/ ← installs here ├─ agents/ └─ settings.json
pyslang-mcp is a read-only Model Context Protocol server for compiler-backed Verilog and SystemVerilog analysis. It uses pyslang to parse HDL projects, report diagnostics, inspect design units and hierarchy, and expose structured semantic information to AI tools.