# sentiment_mcp

> sentiment_mcp — yeisson8a-sentiment-mcp. Use this tool when you need to bridge the gap between AI agents and specialized NLP models, enabling seamless interaction and sentiment analysis. It solves problems related to natural language processing and model integration, providing a Python-based Model Context Protocol (MCP) server. The tool accepts input from AI agents and outputs sentiment analysis results from Hugging Face models.

Canonical page: https://skillsregistry.net/skills/yeisson8a-sentiment-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yeisson8a-sentiment-mcp

## Description

Desarrollo de un servidor de Model Context Protocol (MCP) con Python que actúa como un puente entre agentes de IA y modelos especializados de NLP en Hugging Face

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Yeisson8A/sentiment_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": "yeisson8a-sentiment-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yeisson8a-sentiment-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yeisson8a-sentiment-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt