Oyemi

Oyemi

Semantic encoding and valence analysis for AI agents and NLP applications.

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About Oyemi

Oyemi MCP Server is an open-source Model Context Protocol (MCP) server focused on deterministic word-to-code mapping and valence (sentiment) analysis, designed for integration with AI agents like Claude, ChatGPT, and Gemini. It enables semantic encoding, semantic similarity calculation, synonym/antonym lookup, and batch processing, all without runtime dependencies on external NLP libraries. Oyemi helps AI agents and developers with sentiment analysis, semantic grounding, and advanced text analytics, making it particularly suitable for NLP research, LLM agents, and language-focused applications.

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Product Website

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Documentation

Comprehensive API reference and integration guides for Oyemi MCP Server.

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GitHub Issues

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Example Usage

Examples and use cases to help you get started with Oyemi MCP Server.

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