# Amo Ng MCP server

Source: https://glimind.com/server/mcp-registry%2Fng.amo%2Famo-ng
Registry id: `mcp-registry/ng.amo/amo-ng`
Status: live (checked 2026-10-27T01:48:02.340Z)

## Verdict

Amo Ng MCP server answered 99.56% of Glimind's liveness checks over 30 days, better than 17% of MCP servers, with 1366 ms median handshake and 27 outages in 90 days. Its agent-readiness grade is A (96/100) across 10 tools, costing an agent about 1,819 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 99.56% | 17% of MCP servers |
| Median handshake latency | 1366 ms | 11% of MCP servers |
| p95 handshake latency | 4109 ms | — |
| Checks in 30 days | 4,844 | — |
| Outages, 90 days | 27 | — |
| Median recovery | 8 min | — |
| Agent-readiness score | 96/100 (A) | 82% of MCP servers |
| Tools | 10 | — |
| Tool-list size for an agent | ~1,819 tokens | 54% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "amo-ng-mcp-server": {
      "type": "http",
      "url": "https://amo.ng/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http amo-ng-mcp-server https://amo.ng/mcp
```

## Tools (10)

- `get_professional_pack`: Retrieve one published Professional Pack: public jobs, stable Amo resource references, Templates, Practice Cases, real-case links, and actions. Each section is 
- `get_prompt`: Retrieve the full current published version of one Amo.ng prompt by stable Amo ID or slug.
- `get_skill`: Retrieve one published Amo.ng Skill and its lightweight source reference by stable Amo Skill ID or slug.
- `get_topic`: Retrieve a published Topic and current related Prompt, Workflow, and Skill Amo IDs. Each ID section is paginated separately with next_page metadata. Use the mat
- `get_workflow`: Retrieve one published Amo.ng workflow and its ordered steps by stable Amo Workflow ID or slug.
- `list_professional_packs`: Discover current public Amo.ng Professional Packs by profession or work need. Returns compact summaries and canonical links, with pagination.
- `list_topics`: Discover published Amo.ng Topic collections by theme. Returns names, descriptions, and canonical links, with pagination.
- `search_prompts`: Search published Amo.ng prompts by topic, category, difficulty, tool, or prompt type. Use this to discover a suitable prompt before retrieving its full content.
- `search_skills`: Search published Amo.ng Skills by topic or source type. Use this to discover a reusable capability backed by a Prompt or Workflow.
- `search_workflows`: Search published Amo.ng workflows by topic or outcome. Use this to discover a curated ordered prompt sequence.

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.