# qucs-mcp

> Use this tool when you need to automate the generation of circuit schematics, simulate their behavior, and analyze the results in a programmatic way. It solves problems related to electronic circuit design and simulation by providing a seamless interface between MCP-compatible agents and Qucs simulations. The tool takes circuit specifications as input and outputs simulation results, making it ideal for use cases that require automated circuit design and testing.

Canonical page: https://skillsregistry.net/skills/leonardoab1-qucs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/leonardoab1-qucs-mcp

## Description

Enables MCP-compatible agents to generate Qucs circuit schematics, run simulations, and parse results programmatically.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dddoy2ash4)
- **Repository:** <https://github.com/leonardoAB1/qucs-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": "leonardoab1-qucs-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leonardoab1-qucs-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leonardoab1-qucs-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