# FluxMcp

> FluxMcp — esnya-fluxmcp. Use this tool when you need to integrate AI models with ProtoFlux using the Model Context Protocol (MCP) server, solving issues of AI model management and compatibility. FluxMcp takes in ProtoFlux data and outputs integrated AI models, providing a seamless interface for AI integration. Ideal for use cases requiring AI model contextualization and management, such as machine learning workflows and data analysis pipelines.

Canonical page: https://skillsregistry.net/skills/esnya-fluxmcp  
JSON: https://api.skillsregistry.net/v1/skills/esnya-fluxmcp

## Description

A Resonite mod that adds an MCP (Model Context Protocol) server to handle ProtoFlux for AI integration.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/esnya/FluxMcp)

## 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": "esnya-fluxmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/esnya-fluxmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/esnya-fluxmcp/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