What does Sentor do that a general sentiment API doesn’t?
Sentor performs entity-based sentiment analysis: it scores sentiment toward specific entities (e.g., a brand or feature) rather than providing an overall document sentiment.

@NIKX-Tech
基本情報
Stop guessing why ratings drop. Give your AI assistant Sentor and let it analyse thousands of reviews, pinpoint what to fix first, and surface the topics that matter most.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"sentor": {
"command": "uvx",
"args": [
"sentor-mcp"
],
"env": {
"SENTOR_API_KEY": "<YOUR_API_KEY>"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Sentor is an entity-based sentiment analysis platform powered by fine-tuned BERT models. This MCP server exposes Sentor’s ML APIs as tools that AI assistants can call directly for sentiment scoring, topic clustering, and label generation.
Install using uvx sentor-mcp — no server to run, no infrastructure needed. Obtain a free API key at dashboard.sentor.app and configure the server to use it.
Sentor performs entity-based sentiment analysis: it scores sentiment toward specific entities (e.g., a brand or feature) rather than providing an overall document sentiment.
No server to run or infrastructure to manage. Install via `uvx sentor-mcp` and provide an API key.
Sentor processes text through its cloud-based ML APIs. Documents and results are handled on Sentor’s servers per their data policy (not detailed further in this README).
The MCP server communicates with Sentor’s APIs over standard HTTP (not specified in README beyond API key usage; typical MCP transport is stdio or HTTP).
Get a free API key at [dashboard.sentor.app](https://dashboard.sentor.app/settings?tab=api-access) and provide it when configuring the MCP server.

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