Learning Resources

everflip.app

Provides language learning resources and spaced-repetition scheduling for vocabulary decks.

1 endpoint13 known toolsFirst detected July 3, 2026Last detected September 23, 2026

ENDPOINT 1

https://everflip.app/api/mcp

No auth detected

MCP server metadata

Name: everflip
Version: 1.0.0

Capabilities

tools

Server instructions

everflip exposes a 46-language flashcard library, curated JLPT exam-prep decks (e.g. JLPT N3), real FSRS spaced-repetition scheduling, exam-date pace planning, and Anki/CSV conversion. Tools are deterministic and anonymous; you supply any generated card content.

Known tools 13

list_languages

List the languages everflip teaches (46+), with code, name, and how many lessons/decks each has.

Inferred read-only

get_language

Get one language's full structure — its levels and the decks in each (slugs + names + card counts).

Inferred read-only

fetch_deck

Fetch a built-in everflip vocabulary deck by language code and deck slug.

Inferred read-only

fsrs_schedule

Compute the next spaced-repetition review with FSRS (the modern algorithm everflip and Anki use).

Inferred read-only

forgetting_curve

Simulate the FSRS forgetting curve and a spaced-review schedule over time, plus an effort estimate (days to learn N cards).

Inferred read-only

normalize_cards

Parse raw flashcard text (CSV, TSV, or an Anki "Notes in Plain Text" export) into clean, structured cards.

Inferred read-only

convert_to_anki

Convert a list of cards into an Anki-importable file.

Inferred read-only

share_deck

Turn a list of cards into a shareable everflip study link.

Inferred read-only

build_apkg

Build a real Anki .apkg deck file from a list of cards — the file Anki imports in one click (front/back Basic notes).

Inferred read-only

list_exams

List the certification exams everflip prepares for (e.g.

Inferred read-only

get_exam

Get one exam's structure — its full name, the subject language it tests, and every level with its readiness (which levels have live everflip decks).

Inferred read-only

fetch_exam_deck

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

Inferred read-only

build_exam_plan

Compute a study pace to be ready for an exam by a target date: given the exam date and how many cards are left to master, returns days left, new-cards/day needed (with a mastery buffer so FSRS has time to carry cards to durable recall), and whether a given daily pace is on track.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

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

Codex

~/.codex/config.toml

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

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for everflip.app was fetched 2026-08-30T21:05:54.615Z.

Trust status Neutral

everflip.app is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.