# Tone Analyzer — REST API endpoint `tone-analyzer`

Analyze the emotional tone of English text with a rule-based word dictionary and return tone scores (joy, sadness, anger, fear, confidence, analytical, tentative, polite), the dominant tone, an overall sentiment with a 0-100 score, and a formality level. Needs at least 5 words. No AI model involved.

- Category: text
- MCP server: https://mcp.findutils.com/ (Streamable HTTP, no API keys, 120 req/min per IP)
- REST endpoint: POST https://api.findutils.com/api/tools/tone-analyzer/execute (no API keys, 60 req/min per IP)
- Reference page: https://findutils.com/api/tone-analyzer/
- Same tool on the other surface: https://findutils.com/mcp/tone-analyzer/

## Call the endpoint (verified example)

```bash
curl -X POST https://api.findutils.com/api/tools/tone-analyzer/execute \
  -H "Content-Type: application/json" \
  -d '{
    "text": "I am so happy and excited about this wonderful news!"
  }'

# Parameter schema
curl https://api.findutils.com/api/tools/tone-analyzer
```

## Input schema

| Argument | Type | Required | Description |
|---|---|---|---|
| `text` | string | yes | The text to analyse (at least 5 words). |

Example arguments (verified):

```json
{
  "text": "I am so happy and excited about this wonderful news!"
}
```

OpenAPI 3.1 spec: https://findutils.com/api/openapi.json · Interactive docs: https://findutils.com/api/docs/

## Also an MCP tool

```bash
claude mcp add findutils --transport http https://mcp.findutils.com/
```

Then ask the client to call `findutils:tone_analyzer`. Full MCP reference: https://findutils.com/mcp/tone-analyzer/

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