# sentor-mcp

> Use this tool when you need to analyze sentiment and topics in large documents, and integrate insights with AI assistants. It solves problems of sentiment analysis, document organization, and topic identification by connecting entity-based sentiment analysis, document clustering, and topic naming. The tool takes in text data and outputs categorized and sentiment-scored documents, compatible with MCP-compatible AI assistants.

Canonical page: https://skillsregistry.net/skills/nikx-tech-sentor-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nikx-tech-sentor-mcp

## Description

Connects entity-based sentiment analysis, document clustering, and topic naming to MCP-compatible AI assistants.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/waxh5jxhyr)
- **Repository:** <https://github.com/NIKX-Tech/sentor-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nikx-tech-sentor-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nikx-tech-sentor-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nikx-tech-sentor-mcp/pull`

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