How do I install WordNet MCP 服务?
Install via `uvx wordnet-mcp-server` (recommended) or `pip install wordnet-mcp-server`. After installation, run `wordnet-mcp` or `python -m wordnet_mcp_server`.
@keepondream
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"wordnet-mcp-server": {
"command": "uvx",
"args": [
"wordnet-mcp-server"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
WordNet MCP 服务 is a Python implementation of the Model Context Protocol that provides vocabulary query capabilities using the WordNet lexical database, including synonyms, antonyms, hypernyms, hyponyms, definitions, and example sentences. It is designed for developers and AI applications that need to access lexical relationships within MCP‑based conversations.
Install via uvx wordnet-mcp-server (recommended) or pip install wordnet-mcp-server. Run the server directly with wordnet-mcp or python -m wordnet_mcp_server. Configure it in any MCP client by adding a stdio entry pointing to the Python module command.
Install via `uvx wordnet-mcp-server` (recommended) or `pip install wordnet-mcp-server`. After installation, run `wordnet-mcp` or `python -m wordnet_mcp_server`.
It uses stdio transport, configured by specifying `"command": "python3"` and `"args": ["-m", "wordnet_mcp_server"]` in your MCP client settings.
Yes, the README provides instructions for adding it as an MCP service in Cursor using one of the provided configuration methods.
No. The server uses the bundled WordNet lexical database and requires no API keys or authentication.
It supports synonyms, antonyms, hypernyms, hyponyms, definitions, example sentences, and a combined `get_word_info` tool that returns all available data.
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