Phenomenai MCP Server

@donjguido

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

donjguido

提交者

donjguido

关于 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

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

Phenomenai MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Phenomenai MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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.

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