# mcp-vocabulary-trainer

> mcp-vocabulary-trainer — martinmaxschneider-mcp-vocabulary-trainer. Use this tool when you need to efficiently manage and review multilingual vocabulary with spaced repetition, enabling persistent storage and integration with MCP for personalized learning. It solves problems of vocabulary retention and organization, providing a user-friendly interface for inputting words, domains, and conjugations, and outputting optimized review schedules. Ideal for language learners and AI models like ChatGPT seeking to improve vocabulary mastery.

Canonical page: https://skillsregistry.net/skills/martinmaxschneider-mcp-vocabulary-trainer  
JSON: https://api.skillsregistry.net/v1/skills/martinmaxschneider-mcp-vocabulary-trainer

## Description

A local multilingual vocabulary trainer with Leitner spaced repetition and MCP integration, enabling ChatGPT to manage vocabulary, domains, conjugations, and review schedules persistently.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mch8fda4e7)
- **Repository:** <https://github.com/martinmaxschneider/mcp-vocabulary-trainer>

## 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": "martinmaxschneider-mcp-vocabulary-trainer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/martinmaxschneider-mcp-vocabulary-trainer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/martinmaxschneider-mcp-vocabulary-trainer/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