# Vale

> Use this tool when you need to automate style checking and documentation quality analysis for consistent prose quality across projects. It solves problems related to technical writing, documentation, and content creation by integrating with Vale, a command-line prose linting tool, and provides outputs such as detailed issue reporting and suggested fixes. It is ideal for technical writers, documentation teams, and content creators working with various documentation formats, including Markdown, reStructuredText, and AsciiDoc.

Canonical page: https://skillsregistry.net/skills/theletterf-vale  
JSON: https://api.skillsregistry.net/v1/skills/theletterf-vale

## Description

Provides integration with Vale, a command-line prose linting tool, enabling automated style checking and documentation quality analysis through MCP protocol. Built by Fabrizio Ferri Benedetti, the server offers three core tools: checking Vale installation status with platform-specific installation instructions, syncing Vale style packages and configurations, and linting files against configurable style rules with detailed issue reporting including severity levels, line numbers, and suggested fixes. The implementation handles Vale configuration discovery automatically, supports multiple documentation formats (Markdown, reStructuredText, AsciiDoc), and provides formatted output with structured data for integration into writing workflows, making it valuable for technical writers, documentation teams, and content creators who need consistent prose quality across their projects.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

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

---
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