# ToolBartender

> Use this tool when you need to convert natural language goals into structured execution plans, solving problems like complex workflow management and automation. ToolBartender takes in natural language inputs and generates multi-step plans with tool calls, assumptions, and execution guidance as output. It is ideal for use cases like travel coordination, scheduling, research, and notifications, providing a safe and ordered sequence of actions to achieve a desired outcome.

Canonical page: https://skillsregistry.net/skills/sungminwoo0612-toolbartender  
JSON: https://api.skillsregistry.net/v1/skills/sungminwoo0612-toolbartender

## Description

Planning MCP server that converts natural language goals into structured, multi-step execution plans. Rather than executing tools directly, ToolBartender analyzes available MCP tools and generates safe, ordered sequences of tool calls with assumptions, required confirmations, and execution guidance. Supports complex workflows like travel coordination, scheduling, research, and notifications.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sungminwoo0612-toolbartender)
- **Repository:** <https://github.com/sungminwoo0612/toolbartender-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": "sungminwoo0612-toolbartender"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sungminwoo0612-toolbartender` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sungminwoo0612-toolbartender/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