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  3. Sentor
MCP server · AI

Sentor

Score sentiment toward specific entities in text. Cluster documents and name topics.

Unclaimed ai
37Low

Scored 4 months ago · breakdown

About Sentor

Sentor is an MCP server published by NIKX-Tech in the AI category: score sentiment toward specific entities in text. Cluster documents and name topics.

The repository has 1 stars and 0 forks, with the last commit 4 months ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

uvx
uvx sentor-mcp
pip
pip install sentor-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (4)

analyze_sentimentScore sentiment toward named entities (brands, products, features, people) in one or more documents. Returns per-document and per-sentence breakdowns.

Parameters not published.

cluster_documentsGroup 5+ documents into thematic clusters using BERTopic + HDBSCAN. Automatically discovers the number of clusters.

Parameters not published.

health_checkVerify the Sentor API is reachable and ML models are loaded.

Parameters not published.

name_topicGenerate a 3–5 word descriptive label for each cluster using an LLM (e.g. "Shipping Delay Complaints").

Parameters not published.

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Questions

About Sentor

How do I install Sentor?

Run uvx sentor-mcp, then add the server to your MCP client's configuration.

Is Sentor safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Sentor still maintained?

Yes — the last commit was 4 months ago. The repository has 1 stars and 0 forks.