
Lingard MCP server
Which MCP servers are Lingard's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-30
- Registry nameapp.lingard/vocabverified in the MCP registry
The registry name sits under lingard.app. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-30
- Tools15
- Server calls itselflingard-vocab
- Server version0.5.9
- Protocol version2025-06-18
On 2026-10-30 the server answered initialize and tools/list without a sign-in. First answer in 113 ms.
- Its tools do save new words and review them with spaced repetition, but not read graded books and articles at their own level.
- Checked on 5 of the 7 days it takes to judge reliability.
Once connected
- lingard_create_vocab_collection, lingard_add_words_to_collection, lingard_update_example_translations, lingard_set_learning_pauses change data without a sign-in: anyone with the address can call them.
- Parameters are untyped or undescribed in 12 of 15 tools: check arguments before calling.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 5 so far
- What an agent can do with it1 of 2 use cases
- Answeredmeasuring5 of the 7 daily checks it takes to print a share
- Median first answer134 ms
- Space in an agent's context≈ 10,879 tokensthe definitions of all its tools (15), which an agent carries on every turn
- Tool definitionsB · 87 of 100
- Typed results15 of 15 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 12 of 15
What an agent can do with it
- not sure · look up unfamiliar words in context while reading
- can do · save new words and review them with spaced repetition
- cannot · read graded books and articles at their own level
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
- Tools that change data, on a server that answers without a sign-in: lingard_create_vocab_collection, lingard_add_words_to_collection, lingard_update_example_translations, lingard_set_learning_pauses
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
searchSearches the user's live Lingard account: vocabulary, learning context, English profile, totals, collection titles, saved words, flashcards, and missing vocabulary fields. Results are read from Firestore at the time of the call.
fetchFetches the full live Lingard JSON record for a search-result id (e.g. "learning-context:en") or a Lingard resource URI such as lingard://learning-context/en.
lingard_get_learning_contextReturns the user's current Lingard learning context, read live from their account: English profile, vocabulary totals, saved collections and their titles, card counts, and missing-field stats. Earlier answers in the conversation may be…
lingard_get_vocab_collectionReturns live cards from one Lingard vocabulary collection by UUID or title, including curated Lingard collections and the "Words not in a collection" bucket of cards saved while reading. With includeExamples:true it also returns each…
lingard_get_collection_gapsReturns live Lingard cards in a collection that are missing requested fields such as translation, POS, pronunciation, examples, or image. A curated Lingard collection always reports zero gaps: its words come from the Lingard catalog and…
lingard_get_word_suggestion_contextReturns live Lingard profile level, topic, collection context, and the words the user already has: the context for suggesting level-appropriate new cards that are not duplicates.
lingard_preview_vocab_changesPreviews a Lingard vocabulary collection/card change without writing to Firestore. Cards are checked as on commit. Unless allowIncompleteCards is true, a new card needs title, translate, pos, pron/ipa, syns, and examples with…
lingard_commit_vocab_changesCommits a previously previewed or freshly supplied Lingard vocabulary change. Unless allowIncompleteCards is true, a new card needs title, translate, pos, pron/ipa, syns, and examples with translations; image is optional. A German or…
lingard_create_vocab_collectionCreates a Lingard vocabulary collection, optionally with initial cards; commit=true writes it. Unless allowIncompleteCards is true, a new card needs title, translate, pos, pron/ipa, syns, and examples with translations; image is optional…
lingard_add_words_to_collectionAdds cards to an existing Lingard collection, deduplicating by normalized word title; commit=true writes them. Only collections with writable="full" accept new cards: curated Lingard collections are read-only and the unfiled bucket takes…
lingard_fill_missing_card_fieldsFills empty fields on existing Lingard cards. It never overwrites or clears a field that already has a value. Works on the user's own collections and on the "Words not in a collection" bucket; curated Lingard collections are read-only…
lingard_update_example_translationsRewrites only the translation line of examples that already exist on Lingard cards; the example sentence, its {} highlights and its audio/typing markers are left exactly as they are. It changes, adds, or removes example translations; an…
lingard_attach_card_imagesAttaches supplied images to existing Lingard cards. It does not generate images: each entry carries the image itself as imageBase64 or dataUri, or an imageUrl that the server downloads. PNG, JPEG, WebP, and SVG inputs are converted to…
lingard_get_learning_pausesLists, for one language, the user's collections and sources (books, the news) and which of them are on pause. A collection or source on pause gives the automatic «Now learning» sessions no words — no new words and no reviews — and is not…
lingard_set_learning_pausesPuts collections and sources on pause or takes them off it, for one language — e.g. "study only my Travel collection this week", "pause the news words", "resume everything". action: "pause" or "resume" the listed ones; "only" — resume the…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"vocab": {
"type": "http",
"url": "https://lingard.app/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http lingard https://lingard.app/mcpclaude.ai, ChatGPT and other clients: add https://lingard.app/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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