# cloud-chat-assistant

> Use this tool when you need to leverage cloud-based AI models for conversational interfaces, streaming data, or parallel queries. It solves problems of model accessibility, scalability, and integration by exposing cloud AI models as tools for AI CLI agents. The cloud-chat-assistant takes in natural language inputs and outputs relevant responses, supporting dynamic model discovery and conversation history.

Canonical page: https://skillsregistry.net/skills/jphein-cloud-chat-assistant  
JSON: https://api.skillsregistry.net/v1/skills/jphein-cloud-chat-assistant

## Description

Multi-cloud MCP server that exposes cloud AI models as tools for AI CLI agents, supporting streaming, conversation history, parallel multi-model queries, and dynamic model discovery.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/td0na8ie65)
- **Repository:** <https://github.com/techempower-org/cloud-chat-assistant>

## 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": "jphein-cloud-chat-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jphein-cloud-chat-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jphein-cloud-chat-assistant/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