# mochi-mcp

> mochi-mcp — louis030195-mochi-mcp. Use this tool when you need to efficiently manage and review digital flashcards, leveraging spaced repetition for optimal learning outcomes. It enables creating, reading, updating, and deleting (CRUD) Mochi flashcards, as well as organizing them into decks, via the Model Context Protocol. Ideal for users seeking to streamline their study routines and improve knowledge retention.

Canonical page: https://skillsregistry.net/skills/louis030195-mochi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/louis030195-mochi-mcp

## Description

Enables creating, managing, and reviewing Mochi flashcards via the Model Context Protocol, supporting card CRUD, deck organization, and spaced repetition review.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e53a2k8p65)
- **Repository:** <https://github.com/louis030195/mochi-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": "louis030195-mochi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/louis030195-mochi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/louis030195-mochi-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