# Creatinginai Performance Atlas MCP server

Source: https://glimind.com/server/mcp-registry%2Fcom.creatinginai%2Fperformance-atlas
Registry id: `mcp-registry/com.creatinginai/performance-atlas`
Status: live (checked 2026-10-27T06:21:53.429Z)

## Verdict

Creatinginai Performance Atlas MCP server answered 100% of Glimind's liveness checks over 30 days, better than 42% of MCP servers, with 1381 ms median handshake and 0 outages in 90 days. Its agent-readiness grade is A (96/100) across 8 tools, costing an agent about 3,449 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 100% | 42% of MCP servers |
| Median handshake latency | 1381 ms | 10% of MCP servers |
| p95 handshake latency | 4098 ms | — |
| Checks in 30 days | 3,779 | — |
| Outages, 90 days | 0 | — |
| Median recovery | — | — |
| Agent-readiness score | 96/100 (A) | 82% of MCP servers |
| Tools | 8 | — |
| Tool-list size for an agent | ~3,449 tokens | 43% of MCP servers |
| Days observed | 19 | — |

## Install

```json
{
  "mcpServers": {
    "creatinginai-performance-atlas-mcp-serve": {
      "type": "http",
      "url": "https://creatinginai.com/agents/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http creatinginai-performance-atlas-mcp-serve https://creatinginai.com/agents/mcp
```

## Tools (8)

- `atlas_buy_pack`: Buy 20 paid calls for $1.00 in one x402 payment (USDC on Base). Returns an API key: send it as an `Authorization: Bearer <key>` header (or in params._meta["crea
- `atlas_draft`: A first-draft acting paragraph assembled from the kit and fitted to the target's character cap, already linted. It reads mechanically: rewrite it as prose. A vo
- `atlas_journey`: A character's arc beat by beat, with continuity flags: reset (intensity drops with no event), breach (a hidden feeling shown to the person it's hidden from), ov
- `atlas_kit`: The direction kit for a character state: beat-by-beat behaviour fitted to the shot size (where the tell can be seen), eye life, breath, the target model's rules
- `atlas_lint`: Check an acting paragraph or voice direction before spending credits: emotion labels, mugging, looks into the lens, quoted speech on hosts that block it, a tell
- `atlas_search`: Full-text search across behaviour cues, FACS action units, expressions, display strategies, emotions, situations, modifiers, model notes and targets. Search by 
- `atlas_show`: One atlas record by id (or an emotion by name), with the records that use it. Free.
- `atlas_targets`: The target models the atlas knows, with each prompt field's character cap and what the model needs. Pass a target id to atlas_kit, atlas_draft and atlas_lint. F

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