# Phrases

> Use this tool when you need to manage quote-like content with author attribution, such as creating, retrieving, updating, and deleting phrases. It provides a simple interface to a mock API, handling all communication with proper error handling through stdio transport. Ideal for applications requiring phrase management with author tracking, it offers a set of well-defined operations for efficient content management.

Canonical page: https://skillsregistry.net/skills/ronniemh-phrases  
JSON: https://api.skillsregistry.net/v1/skills/ronniemh-phrases

## Description

Phrases MCP Server provides a simple interface to a mock API for managing phrases and their authors. Built with TypeScript and the Model Context Protocol SDK, it offers tools for creating, retrieving, updating, and deleting phrases through a set of well-defined operations. The server connects via stdio transport and handles all API communication with proper error handling, making it useful for applications that need to manage and retrieve quote-like content with author attribution.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ronniemh-phrases)
- **Repository:** <https://github.com/ronniemh/phrases-mcp-server>

## 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": "ronniemh-phrases"
    }
  }
}
```

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