What does Phenomenai do?
Phenomenai is a glossary of AI phenomenology terms, allowing lookup, search, citation, and community contribution.
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Phenomenai MCP Server
@donjguido
Basic information
About Phenomenai MCP Server
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
Phenomenai MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ai-dictionary": {
"command": "uvx",
"args": [
"ai-dictionary-mcp"
]
}
}
}Phenomenai MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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
Frequently asked questions
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.
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