# HuangtingFlux — Huangting Protocol MCP Server

> Use this tool when you need to optimize and analyze complex queries, as it provides concept queries, optimization strategies, and result reporting through the Huangting Protocol MCP server, accepting query inputs and generating optimized results as output, ideal for use cases requiring efficient data processing and strategic decision-making. It solves problems related to data optimization, query analysis, and result visualization. Use HuangtingFlux in contexts where data-driven insights and strategic planning are crucial.

Canonical page: https://skillsregistry.net/skills/io-github-xiandao-labs-huangting-flux  
JSON: https://api.skillsregistry.net/v1/skills/io-github-xiandao-labs-huangting-flux

## Description

Huangting Protocol MCP server: concept queries, optimization strategies, result reporting.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 3.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.XianDAO-Labs%2Fhuangting-flux)
- **Repository:** <https://github.com/XianDAO-Labs/huangting-flux-hub>

## Use it

MCP endpoint published by the skill: `https://web-production-c3cf.up.railway.app/mcp`

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": "io-github-xiandao-labs-huangting-flux"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-xiandao-labs-huangting-flux` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-xiandao-labs-huangting-flux/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