# pyslang-mcp

> Use this tool when you need to analyze and understand Verilog and SystemVerilog projects, providing AI agents with compiler-backed context to solve problems related to code comprehension and verification. It takes in Verilog and SystemVerilog project files as input and outputs a read-only context for further analysis. This tool is ideal for use cases where accurate code analysis and insight are crucial, such as in digital design automation and hardware verification.

Canonical page: https://skillsregistry.net/skills/ariklapid-pyslang-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ariklapid-pyslang-mcp

## Description

Provides AI agents with compiler-backed, read-only context for Verilog and SystemVerilog projects using pyslang.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e8awsn79sf)
- **Repository:** <https://github.com/ariklapid/pyslang-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ariklapid-pyslang-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ariklapid-pyslang-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ariklapid-pyslang-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt