Phenomenai
@donjguido
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
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.
