Oyemi MCP Server

MCP (Model Context Protocol) server for the Oyemi semantic lexicon. Provides deterministic word-to-code mapping and valence analysis for AI agents

Local serverstdio

What is the Oyemi MCP MCP server?

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. The oyemi mcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 7 defined tools rather than through you.

What it actually does

  • 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

Adding it to your client

The server ships on PyPI as oyemi-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

Its toolset

Everything the assistant can do here goes through one of these:

  • encode_word — The encode_word tool exposed by this server
  • analyze_text — The analyze_text tool exposed by this server
  • semantic_similarity — The semantic_similarity tool exposed by this server
  • find_synonyms — The find_synonyms tool exposed by this server
  • find_antonyms — The find_antonyms tool exposed by this server
  • batch_encode — The batch_encode tool exposed by this server
  • get_lexicon_info — The get_lexicon_info tool exposed by this server

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the oyemi mcp mcp server does with a few real requests.

When to reach for it

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Oyemi MCP's toolset — encode_word, analyze_text, semantic_similarity and 4 more — is a fair guide to whether it matches your workflow. It is maintained by osseni94; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Oyemi MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Available tools

ToolWhat it does
encode_wordThe encode_word tool exposed by this server.
analyze_textThe analyze_text tool exposed by this server.
semantic_similarityThe semantic_similarity tool exposed by this server.
find_synonymsThe find_synonyms tool exposed by this server.
find_antonymsThe find_antonyms tool exposed by this server.
batch_encodeThe batch_encode tool exposed by this server.
get_lexicon_infoThe get_lexicon_info tool exposed by this server.

How to install the Oyemi MCP MCP server

{
  "mcpServers": {
    "oyemi": {
      "command": "oyemi-mcp"
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Example prompts to try

  • Use Oyemi MCP to encode word.
  • Use Oyemi MCP to analyze text.
  • Use Oyemi MCP to semantic similarity.

Frequently asked questions

It connects Oyemi MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 7 tools (encode_word, analyze_text, semantic_similarity, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Oyemi MCP directly.