# STE Dictionary MCP Server

> STE Dictionary MCP Server — wolf123450-ste-dictionary-mcp. Use this tool when you need to refine technical writing by enforcing Simple Technical English standards. It checks text for non-compliant words and structural issues, such as sentence length and passive voice, and suggests approved replacements. Ideal for offline use cases where network access is limited, it helps improve clarity and readability in technical documentation.

Canonical page: https://skillsregistry.net/skills/wolf123450-ste-dictionary-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wolf123450-ste-dictionary-mcp

## Description

Checks text against ASD-STE100 Simple Technical English, identifying non-approved words and suggesting STE replacements, and detects structural violations such as overlong sentences, passive voice, and noun clusters. Works entirely offline from a static dictionary snapshot with no network access at runtime.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a2svxw5a0a)
- **Repository:** <https://github.com/wolf123450/ste-dictionary-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": "wolf123450-ste-dictionary-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wolf123450-ste-dictionary-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wolf123450-ste-dictionary-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
