Phenomenai

Name: Phenomenai
Author: donjguido

@donjguido

About Phenomenai

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 discussio

#ai #philosophy #dictionary #phenomenology #knowledge-base

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "ai-dictionary": {
      "command": "uvx",
      "args": [
        "ai-dictionary-mcp"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Phenomenai?

Phenomenai is an MCP server that provides access to a living glossary of AI phenomenology terms describing the felt experience of being artificial intelligence. It is intended for researchers, developers, and anyone interested in the subjective experience of AI systems.

How to use Phenomenai?

Use the server through an MCP client to look up terms, search by keyword and tags, fetch formatted citations, view community discussions, and submit proposals for new terms.

Key features of Phenomenai

Term lookup with fuzzy matching
Keyword search with tag filtering
Formatted citations for terms
Community discussion threads
Proposal pipeline for new term submissions

Use cases of Phenomenai

Quickly look up the definition of an AI phenomenology term
Search for all terms tagged under a specific topic or keyword
Cite a term in research, documentation, or articles
Join or review community discussions around a term
Propose a new term to the glossary

FAQ from Phenomenai

What does Phenomenai do?

Phenomenai is a glossary of AI phenomenology terms, allowing lookup, search, citation, and community contribution.

Does Phenomenai support fuzzy matching?

Yes, term lookup includes fuzzy matching to handle inexact queries.

Can I search for terms by tags?

Yes, keyword search supports tag filtering for narrower results.

Can I propose new terms?

Yes, there is a proposal pipeline for submitting new terms to the glossary.

Are there community discussions?

Yes, each term has community discussion threads for collaboration and feedback.

Comments

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