# MCP Prompt Optimizer

> Use this tool when you need to refine and optimize AI prompts for better performance, as it solves problems of suboptimal query results and improves safety-critical alignments through advanced reasoning patterns and templates. It takes in user-inputted prompts and outputs optimized versions, utilizing strategies like Tree of Thoughts and Medprompt. Ideal for use cases requiring precise and reliable AI outputs, such as research, content generation, and decision-making applications.

Canonical page: https://skillsregistry.net/skills/bubobot-team-mcp-prompt-optimizer  
JSON: https://api.skillsregistry.net/v1/skills/bubobot-team-mcp-prompt-optimizer

## Description

This MCP server provides research-backed prompt optimization tools and professional domain templates designed to improve AI performance through strategies like Tree of Thoughts and Medprompt. It enables users to analyze, auto-optimize, and refine prompts using advanced reasoning patterns and safety-critical alignment techniques.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r9874a13fl)
- **Repository:** <https://github.com/Bubobot-Team/mcp-prompt-optimizer>

## 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": "bubobot-team-mcp-prompt-optimizer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bubobot-team-mcp-prompt-optimizer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bubobot-team-mcp-prompt-optimizer/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
