Score sentiment toward specific entities in text. Cluster documents and name topics.
Score sentiment toward specific entities in text. Cluster documents and name topics.
Sentor is an entity-based sentiment analysis platform powered by fine-tuned BERT models. This MCP server exposes Sentor's ML APIs as tools your AI assistant can call directly — score sentiment toward specific entities in text, cluster documents by topic, and generate topic labels, all from a single natural-language prompt.
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{
"mcpServers": {
"sentor": {
"command": "uvx",
"args": ["sentor-mcp"],
"env": {
"SENTOR_API_KEY": "your_api_key_here"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| SENTOR_API_KEY | Credential the server authenticates with. | Yes |
| SENTOR_BASE_URL | Endpoint or connection string the server talks to. | Yes |
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