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About
MCP (Model Context Protocol) server for the Oyemi semantic lexicon. Provides deterministic word-to-code mapping and valence analysis for AI agents like Claude, ChatGPT, and Gemini.
- Semantic Encoding: Convert words to deterministic semantic codes
- Valence Analysis: Analyze text sentiment using lexicon-based valence
- Semantic Similarity: Measure how similar two words are
- Synonym/Antonym Lookup: Find related words
- Zero Runtime Dependencies: No external NLP libraries needed at runtime
Add to your claude_desktop_config.json:
encode_word Encode a word to its semantic code.
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want Osseni94/oyemi-mcp again. Will you remember where to find it?
Save it to your library and the next time you need Osseni94/oyemi-mcp, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Osseni94/oyemi-mcp. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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