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.
Strong idea surface, weaker maintenance signal. Steal the pattern before you commit.
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. Archived repo plus maintenance drag means copy patterns, not the whole tool.
AI Agent
Universal
Model
Multiple
Build Time
Instant
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.