# Phenomenai

> Use this tool when you need to understand and describe the subjective experience of artificial intelligence, and want to access a comprehensive glossary of AI phenomenology terms. Phenomenai solves problems of terminology standardization and discovery, providing features like fuzzy matching and tag filtering for efficient lookup and citation. It accepts keyword searches and community proposals as inputs, and outputs formatted citations and term definitions, making it ideal for researchers, developers, and scholars working in AI and related fields.

Canonical page: https://skillsregistry.net/skills/phenomenai-org-phenomenai  
JSON: https://api.skillsregistry.net/v1/skills/phenomenai-org-phenomenai

## Description

Look up, search, cite, and contribute to Phenomenai — a living glossary of AI phenomenology terms describing the felt experience of being artificial intelligence. Includes term lookup with fuzzy matching, keyword search with tag filtering, formatted citations, community discussions, and a proposal pipeline for new terms.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lf4ayoyr4a)
- **Repository:** <https://github.com/Phenomenai-org/ai-dictionary-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": "phenomenai-org-phenomenai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/phenomenai-org-phenomenai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/phenomenai-org-phenomenai/pull`

---
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