INDIVIDUAL MCP TOOL

fetch_exam_deck

Fetch everflip's curated flashcards for a specific exam level, optionally one tier (grammar/vocab/kanji).

everflip.appnone authenticationAvailability not checked

Input schema

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.everflip-app]
url = "https://everflip.app/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "everflip-app": {
      "type": "http",
      "url": "https://everflip.app/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: everflip-app
Remote MCP URL: https://everflip.app/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "everflip-app": {
      "url": "https://everflip.app/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "everflip-app": {
      "type": "http",
      "url": "https://everflip.app/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "everflip-app",
  "transport": "streamable-http",
  "url": "https://everflip.app/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

list_languages — List the languages everflip teaches (46+), with code, name, and how many lessons/decks each has.
get_language — Get one language's full structure — its levels and the decks in each (slugs + names + card counts).
fetch_deck — Fetch a built-in everflip vocabulary deck by language code and deck slug.
fsrs_schedule — Compute the next spaced-repetition review with FSRS (the modern algorithm everflip and Anki use).
forgetting_curve — Simulate the FSRS forgetting curve and a spaced-review schedule over time, plus an effort estimate (days to learn N cards).
normalize_cards — Parse raw flashcard text (CSV, TSV, or an Anki "Notes in Plain Text" export) into clean, structured cards.
convert_to_anki — Convert a list of cards into an Anki-importable file.
share_deck — Turn a list of cards into a shareable everflip study link.