# verbalized-sampling-mcp

> Use this tool when you need to enhance the diversity of Large Language Model (LLM) outputs by 2-3x. It provides Verbalized Sampling prompt templates and processes responses to improve output variety, solving issues of limited and repetitive responses. Ideal for applications requiring diverse and creative text generation, such as content creation, dialogue systems, and language translation.

Canonical page: https://skillsregistry.net/skills/v1truv1us-verbalized-sampling-mcp  
JSON: https://api.skillsregistry.net/v1/skills/v1truv1us-verbalized-sampling-mcp

## Description

A Model Context Protocol server that provides Verbalized Sampling prompt templates and response processing to improve LLM output diversity by 2-3x.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qz5ve3l8rv)
- **Repository:** <https://github.com/v1truv1us/verbalized-sampling-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": "v1truv1us-verbalized-sampling-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/v1truv1us-verbalized-sampling-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/v1truv1us-verbalized-sampling-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