# AarnXen-MultiAI-MCP

> AarnXen-MultiAI-MCP — abhishek-kraj-aarnxen-multiai-mcp. Use this tool when you need to orchestrate multiple AI models and tools for complex tasks, such as data analysis, code generation, and web grounding. The AarnXen-MultiAI-MCP server solves problems related to AI model management, integration, and scalability, providing a unified interface for 31 tools and 25+ models. It accepts various inputs, including code and data, and outputs orchestrated results, making it ideal for use cases that require multi-model AI coordination, such as large-scale data processing and automated coding with Claude Code.

Canonical page: https://skillsregistry.net/skills/abhishek-kraj-aarnxen-multiai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/abhishek-kraj-aarnxen-multiai-mcp

## Description

Multi-model AI orchestration MCP server — 31 tools, 25+ models (Gemini, DeepSeek, Kimi, Qwen, GLM, MiniMax), memory flywheel, web grounding. Works with Claude Code.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/Abhishek-Kraj/AarnXen-MultiAI-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": "abhishek-kraj-aarnxen-multiai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abhishek-kraj-aarnxen-multiai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abhishek-kraj-aarnxen-multiai-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
