Phenomenai

by donjguido

233 downloads
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GitHub

About

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

Details

Author
donjguido
Downloads
233
Categories
Other, AI, Knowledge Base

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

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Phenomenai
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

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.

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