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.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
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 57/100. no security policy. 1 open issues make this testable, but not something to trust blind.
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.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: June 14, 2026
Repository state: Not marked archived
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