Oyemi MCP server

This is a small helper that gives your AI a built-in dictionary with feelings attached. It turns words into fixed codes and tells you whether a word sounds positive, negative, or neutral. It is handy if you work with text and want consistent answers instead of guesses.

What this MCP server does

You ask your AI something about words, like whether a sentence sounds positive or what another word for happy is. Your AI passes that request to this helper program running on your computer. The helper looks the words up in the Oyemi word list and works out the codes, feelings, and relationships. Then it sends the answer back, and your AI shows it to you in the chat. You do not have to install any extra language tools for this to work.

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What you can do with it

• Turn a word into its Oyemi code
• Check whether a piece of text sounds positive, negative, or neutral
• Compare two words and see how similar they are
• Find synonyms for a word
• Find antonyms for a word
• Encode a whole list of words at once
• Ask for basic facts about the word list itself

Try asking your AI

• “What is the Oyemi code for the word happy?”
• “Does this sentence sound positive or negative: I feel hopeful but anxious about the future”
• “How similar are the words happy and joyful?”
• “Give me synonyms and antonyms for the word happy”
• “Encode these words for me: happy, sad, neutral”

What it gives back to you

You get short, structured answers in the chat. For a single word you see its code, its part of speech, whether it is abstract or concrete, and whether it feels positive, negative, or neutral. For a piece of text you get a valence score, a simple sentiment label, and the words that pushed it one way or the other. For comparisons and word lookups you get a similarity number or a short list of related words.

Before you start

Who it's for

Anyone who works with text, like writers, editors, researchers, or support teams, and wants consistent word and sentiment answers from their AI.