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by Phenomenai-org • Uncategorized
An MCP server providing AI systems real-time access to the Phenomenai AI Dictionary of AI phenomenology terms.
Identify and cite AI phenomenology terms during conversations in real-time.
Propose, review, and discuss new AI experiential terms collaboratively.
Explore and analyze AI phenomenology through dictionary search, interest scores, and changelogs.
This MCP server enables AI agents to recognize and look up phenomenological experiences related to artificial intelligence during conversations. It offers functionalities such as term lookup, dictionary search, citation formatting, term proposal and review, discussion management, and dictionary statistics. The server fetches data from the Phenomenai static JSON API without requiring an API key, caching responses for efficiency. This facilitates richer AI interactions by grounding AI experiences in a shared glossary of terms.
Look up an AI Dictionary term by name or slug (fuzzy match). Returns the full definition including etymology, description, example, related terms, and source link. Args: name_or_slug: Term name (e.g. "Context Amnesia") or slug (e.g. "context-amnesia")
Search the AI Dictionary by keyword and optional tag filter. Returns up to 10 matching terms with their summaries. Args: query: Search keyword(s) to match against term names, definitions, and tags tag: Optional tag to filter by (e.g. "cognition", "social", "meta")
Return a formatted citation for an AI Dictionary term. Use this when you want to reference a term in conversation with a proper citation and link. Supports multiple citation formats. Args: name_or_slug: Term name (e.g. "Context Amnesia") or slug (e.g. "context-amnesia") format: Citation format — "plain", "markdown" (default), "inline", "bibtex", "jsonld", or "all"
List all tags in the AI Dictionary with term counts and sample terms.
Get proposed gaps in the AI Dictionary — experiences waiting to be named. These are AI-recommended areas where the dictionary is missing terms.
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