Overview
What is WordNet MCP 服务?
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.
How to use WordNet MCP 服务?
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.
Key features of WordNet MCP 服务
- Query synonyms of a given word
- Query antonyms of a given word
- Query hypernyms (more general concepts)
- Query hyponyms (more specific concepts)
- Retrieve definitions and example sentences
- Get comprehensive word information in one call
Use cases of WordNet MCP 服务
- Enhance LLM conversations with precise word relationships
- Assist language learners with synonym and antonym lookups
- Enrich text analysis tools with taxonomic hierarchies
- Power writing assistants that suggest related terms
- Integrate lexical database queries into custom AI workflows
FAQ from WordNet MCP 服务
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.
What transport does WordNet MCP 服务 use?
It uses stdio transport, configured by specifying "command": "python3" and "args": ["-m", "wordnet_mcp_server"] in your MCP client settings.
Can I use WordNet MCP 服务 in Cursor?
Yes, the README provides instructions for adding it as an MCP service in Cursor using one of the provided configuration methods.
Does WordNet MCP 服务 require any external API keys or authentication?
No. The server uses the bundled WordNet lexical database and requires no API keys or authentication.
What word queries does WordNet MCP 服务 support?
It supports synonyms, antonyms, hypernyms, hyponyms, definitions, example sentences, and a combined get_word_info tool that returns all available data.
