vocabit-mcp
Allows sending a Telegram notification to the learner when a study set is waiting for them.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@vocabit-mcpCreate a flashcard set on Spanish food, then read back the weak cards."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
vocabit-mcp
An MCP server for Vocabit, a flashcard app. It lets an AI assistant write a study set into a real app on a real phone, and then read back how the learner actually did with it.
Most MCP servers read from an API. This one closes a loop:
flowchart LR
A["Assistant<br/>teaches a topic"] --> B["create_study_set"]
B --> C["Set appears in the<br/>Vocabit app"]
C --> D["Learner works<br/>through it"]
D --> E["get_set_results"]
E -->|weak cards| AThe interesting tool is not create_study_set — anything can generate flashcards.
It is get_set_results: which cards the learner marked hard, which they never reached,
how many reviews each one took. The next set is built out of that, not out of a guess.
Try it in 30 seconds
No backend, no account, no API key:
npx -y vocabit-mcp --demoDemo mode runs the same server against an in-memory Vocabit with two seeded sets. Create a set, ask for results, and a deterministic stand-in learner will have worked through it — flagged in the response as simulated, so it is never mistaken for real data.
To poke at it with a UI:
npx @modelcontextprotocol/inspector npx -y vocabit-mcp --demoRelated MCP server: EduBase MCP Server
Install
Listed in the MCP Registry as io.github.JohnBilousov/vocabit-mcp, so clients that read the registry can find it on their own.
claude mcp add vocabit -- npx -y vocabit-mcp{
"mcpServers": {
"vocabit": {
"command": "npx",
"args": ["-y", "vocabit-mcp"],
"env": {
"VOCABIT_BASE_URL": "https://your-vocabit-backend.example.com",
"VOCABIT_AGENT_KEY": "your-agent-key"
}
}
}
}Drop the env block to run in demo mode.
Tools
Tool | What it does |
| Check the connection and which mode the server is in. |
| Publish a set to the learner's app. Returns a deep link that opens it on the device. |
| Recent sets, newest first, each with a progress summary. |
| Full contents of one set, plus the topic and notes the assistant attached. |
| The feedback half. Per-card status, |
| Retitle, retag, or append cards — typically the follow-up after reading results. |
| Telegram ping that a set is waiting. |
| Remove a set from the app. Study history is kept. |
Also exposed: the vocabit://set/{setId} resource (a set as JSON, listable) and a
study-session prompt that walks the whole loop.
Card states
Progress comes from the app's spaced-repetition engine, not from the assistant:
Status | Meaning |
| Never reviewed. |
| Learner marked it hard. |
| Marked good. |
| Marked easy. |
A set reports completed: true once no card is left in new.
Live mode
Point the server at a Vocabit backend that has the agent API enabled:
export VOCABIT_BASE_URL=https://your-vocabit-backend.example.com
export VOCABIT_AGENT_KEY=... # must match one of AGENT_API_KEYS on the backend
npx -y vocabit-mcpVariable | Purpose |
| Backend base URL. |
| Sent as |
| Firebase UID of the learner. Optional; the backend has a default. |
| Defaults for new sets, e.g. |
| Recipient for |
| Request timeout, default |
|
|
Set neither URL nor key and the server starts in demo mode. Set exactly one and it refuses to start — half a configuration is a mistake, not a hint.
Design notes
Demo mode is a first-class client, not a stub. HttpVocabitClient and
DemoVocabitClient implement the same VocabitClient interface, so no tool has a
branch for "are we pretending?". A reviewer can run the server before they have
credentials, and the test suite exercises the real tool surface over a real MCP
transport rather than mocking the SDK.
Errors are recoverable, not fatal. A failed call comes back as isError with the
backend's own message plus a hint aimed at the model — 404 says "call
list_study_sets to see which sets exist", 401 says "or run with VOCABIT_DEMO=1".
Mutually exclusive arguments are rejected with an explanation instead of a guess.
Output schemas stay loose on the edges. Identifying fields are required; everything else is optional, so a backend that grows a field does not turn a working tool into a validation error.
Annotations are honest. delete_study_set is marked destructiveHint, the read
tools readOnlyHint. notify_learner messages a real person, and its description says
to use it sparingly.
Development
git clone https://github.com/JohnBilousov/vocabit-mcp && cd vocabit-mcp
npm install
npm run build
npm test # tool surface + full loop, plus the HTTP client against a mocked fetch
npm run lint # eslint
npm run format # prettier --write
npm run inspect # demo mode in the MCP InspectorCI runs typecheck, lint, format:check, test, and build on every push and pull request.
src/
index.ts CLI entry, stdio transport
config.ts env → Config, demo-mode resolution
server.ts tool / resource / prompt registration
schemas.ts zod input and output shapes
format.ts human-readable summaries next to structuredContent
client/
types.ts wire types + VocabitClient contract
http.ts live backend
mock.ts in-memory backend for demo mode
test/
server.test.ts tool surface + full loop — over an in-memory MCP transport
client/
http.test.ts query encoding, error-body parsing, timeouts — against a mocked fetchReleasing
Publishing uses npm's trusted publishing (OIDC) —
no NPM_TOKEN secret, nothing that can leak or expire. One-time setup on npmjs.com, under the
package's Settings → Trusted publishing → GitHub Actions: organization JohnBilousov, this
repository, workflow filename publish.yml.
To cut a release: bump the version in package.json, server.json, and VERSION in
src/server.ts together (a test asserts they can't drift), commit, push, then publish a GitHub
Release with a matching vX.Y.Z tag. That triggers
.github/workflows/publish.yml, which runs the test suite and
publishes to npm with provenance — the
package page shows a verified link back to this exact commit and workflow run, not just a name on
the registry.
Roadmap
Streamable HTTP transport alongside stdio
Multi-learner support without a backend default UID
Audio pronunciation cards
License
MIT © Ivan Bilousov
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceA bridge that provides AI assistants with access to WaniKani user data and functionality, enabling them to retrieve learning progress, identify difficult items, and offer personalized Japanese language learning assistance.2

EduBase MCP Serverofficial
AlicenseCqualityAmaintenanceEnables AI assistants to interact with the EduBase educational platform to create quizzes, upload questions, schedule exams, manage educational content, and analyze user results through natural language.16740927MIT
Unfold It MCP Serverofficial
AlicenseAqualityDmaintenanceConnect AI assistants to Unfold It -- create goals with AI-generated plans, agent-assisted clarification, plan import with enrichment, individual progress tracking, cohort analytics, and skill assessments.13202MIT- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with the Classavo education platform via natural language for course management, assignments, grading, attendance, polling, and discussions, with strict privacy controls for students.
Related MCP Connectors
Free: turn your AI chats into spaced-repetition vocabulary. 13 tools, reads and writes.
Voice-led, FSRS-scheduled flashcards from YouTube, PDFs, web, or text. Auto-graded quizzes.
Manage your Vidalytics videos and analytics from your AI assistant.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/JohnBilousov/vocabit-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server