# Turkish-Sentiment-Anlaysis

> Use this tool when you need to analyze the sentiment of Turkish text, such as customer reviews or social media posts, to determine the emotional tone and opinions expressed. It solves problems related to understanding public opinion, customer satisfaction, and market trends in the Turkish language. The tool takes in Turkish text as input and outputs a sentiment score, indicating whether the sentiment is positive, negative, or neutral.

Canonical page: https://skillsregistry.net/skills/emredeveloper-mcp-turkish-sentiment-analysis  
JSON: https://api.skillsregistry.net/v1/skills/emredeveloper-mcp-turkish-sentiment-analysis

## Description

Turkish sentiment anlaysis with MCP

## 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:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xzte9s4519)
- **Repository:** <https://github.com/emredeveloper/MCP-Turkish-Sentiment-analysis>

## 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": "emredeveloper-mcp-turkish-sentiment-analysis"
    }
  }
}
```

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