# mcp-vcd

> Use this tool when you need to efficiently analyze hardware simulation data from VCD waveforms and GTKWave save files. It solves problems related to signal value extraction, bus definition, and grouping, allowing for faster processing without requiring entire file loads. The tool accepts VCD and GTKWave files as input and outputs signal values, bus definitions, and groupings, making it ideal for use cases involving hardware simulation data analysis.

Canonical page: https://skillsregistry.net/skills/key2-mcp-vcd  
JSON: https://api.skillsregistry.net/v1/skills/key2-mcp-vcd

## Description

Enables AI assistants to analyze hardware simulation VCD waveforms and GTKWave save files, providing access to signal values, bus definitions, and groupings without loading entire files.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vpwgky8rui)
- **Repository:** <https://github.com/key2/mcp-vcd>

## 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": "key2-mcp-vcd"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/key2-mcp-vcd` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/key2-mcp-vcd/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