# mcp-visual-programming-pc-client

> mcp-visual-programming-pc-client — doghelwang-mcp-visual-programming-pc-client. Use this tool when you need to create and manipulate visual programming flows programmatically, especially for tasks that involve device model parsing and port connection. It enables AI agents to generate Qt-based flows using natural language inputs, solving problems related to automated workflow creation and device integration. Ideal for use cases where visual programming flows need to be dynamically generated or modified, such as in IoT device configuration or data processing pipeline creation.

Canonical page: https://skillsregistry.net/skills/doghelwang-mcp-visual-programming-pc-client  
JSON: https://api.skillsregistry.net/v1/skills/doghelwang-mcp-visual-programming-pc-client

## Description

Enables AI agents to programmatically create and manipulate Qt-based visual programming flows, including device model parsing and port connection, through natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ilf1s04crl)
- **Repository:** <https://github.com/doghelWang/mcp-visual-programming-pc-client>

## 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": "doghelwang-mcp-visual-programming-pc-client"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/doghelwang-mcp-visual-programming-pc-client` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/doghelwang-mcp-visual-programming-pc-client/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