# Emotion Dataset Analysis MCP Server

> Use this tool when you need to analyze and understand emotional trends in social media data, such as Twitter messages, to solve problems like sentiment analysis and emotional intelligence. It takes in search queries and data sampling parameters as inputs and outputs statistical distributions and analyzed data. This tool is ideal for use cases where insights into emotional patterns in text data are required, such as market research or social media monitoring.

Canonical page: https://skillsregistry.net/skills/cegme-cis6930sp26-assignment1-5  
JSON: https://api.skillsregistry.net/v1/skills/cegme-cis6930sp26-assignment1-5

## Description

This MCP server enables users to interact with and analyze the dair-ai/emotion dataset from Hugging Face containing labeled Twitter messages. It provides tools to sample data, search text, and perform statistical analysis on emotion distributions.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zbs3rcf2l9)
- **Repository:** <https://github.com/cegme/cis6930sp26-assignment1.5>

## 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": "cegme-cis6930sp26-assignment1-5"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cegme-cis6930sp26-assignment1-5` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cegme-cis6930sp26-assignment1-5/pull`

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