# multi-cloud-llm-platform

> multi-cloud-llm-platform — ariz-ahmad-multi-cloud-llm. Use this tool when you need to leverage multiple Large Language Models (LLMs) from various providers, such as AWS Bedrock, OpenAI, and Google Gemini, to generate text and route prompts efficiently. It solves the problem of integrating multiple LLMs into a single workflow, providing automatic routing and metrics tracking. The platform accepts text prompts as input and outputs generated text, with a compatible interface for any MCP client.

Canonical page: https://skillsregistry.net/skills/ariz-ahmad-multi-cloud-llm  
JSON: https://api.skillsregistry.net/v1/skills/ariz-ahmad-multi-cloud-llm

## Description

Exposes multiple LLM providers (AWS Bedrock, OpenAI, Google Gemini, local Ollama) as MCP tools with automatic routing by task type and Prometheus metrics, enabling any MCP-compatible client to generate text, route prompts, and list providers.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dj5o521nv0)
- **Repository:** <https://github.com/ariz-ahmad/multi-cloud-llm>

## 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": "ariz-ahmad-multi-cloud-llm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ariz-ahmad-multi-cloud-llm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ariz-ahmad-multi-cloud-llm/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
