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
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"wordnet-mcp-server": {
"command": "uvx",
"args": [
"wordnet-mcp-server"
]
}
}
}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。
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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