# mcp-sentiment-server

> mcp-sentiment-server — hashan-7-mcp-sentiment-server. Use this tool when you need to analyze text sentiment with a user-friendly interface, as it provides a server-based solution for sentiment analysis using Gradio and Hugging Face Spaces, accepting text inputs and outputting sentiment scores. It solves problems related to text classification and sentiment detection, such as determining the emotional tone of customer reviews or social media posts. Ideal for natural language processing tasks, this tool streamlines sentiment analysis workflows with its intuitive interface and scalable deployment.

Canonical page: https://skillsregistry.net/skills/hashan-7-mcp-sentiment-server  
JSON: https://api.skillsregistry.net/v1/skills/hashan-7-mcp-sentiment-server

## Description

MCP sentiment analysis server with Gradio, deployed on Hugging Face Spaces.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/hashan-7/mcp-sentiment-server)

## 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": "hashan-7-mcp-sentiment-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hashan-7-mcp-sentiment-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hashan-7-mcp-sentiment-server/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