# got-cosy-mcp

> got-cosy-mcp — perwinroth-got-cosy-mcp. Use this tool when you need to evaluate the cosiness of independent hotels or retrieve detailed feeling data about specific hotels. It solves problems related to hotel discovery and sentiment analysis by providing cosiness scores for approximately 6,300 hotels and allowing users to search by city or country. The tool accepts location-based inputs and returns cosiness scores and detailed feeling data as outputs.

Canonical page: https://skillsregistry.net/skills/perwinroth-got-cosy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/perwinroth-got-cosy-mcp

## Description

MCP server providing cosiness scores for about 6,300 independent hotels, with tools to find hotels by city/country and retrieve detailed feeling data.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cy3lcfelen)
- **Repository:** <https://github.com/perwinroth/got-cosy-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": "perwinroth-got-cosy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/perwinroth-got-cosy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/perwinroth-got-cosy-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