Integration
Connect Airparser to WaniKani
When something happens in Airparser, your agent does the next thing in WaniKani. Describe it and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Airparser and WaniKani to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Airparser can start in WaniKani
When Document Parsed in Airparser
then Add review in WaniKani
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Airparser and WaniKani
Triggers and actions 1 trigger · 19 actions
- Document Parsed
Triggers when Airparser finishes parsing a document in the chosen inbox, giving you the extracted data.
- Create an Inbox
Creates a new Airparser inbox that documents can be sent to for parsing.
- Create or Update Extraction Schema
Sets which fields Airparser should pull out of documents sent to an inbox, replacing whatever schema was there before.
- Delete an Inbox
Deletes an Airparser inbox and the documents stored in it.
- Extract Data From a Document
Sends a document to an Airparser inbox, waits for it to be parsed, and returns the extracted data.
- Extract Data From a Document (Async)
Sends a document to an Airparser inbox and returns straight away without waiting for parsing. Use the Document Parsed trigger or Get Document to pick up the result.
- Get a Document
Returns a parsed Airparser document, including the data extracted from it.
- Get an Inbox
Returns one Airparser inbox with its settings, its email address prefix and its current extraction schema.
- List Documents
Lists the documents in an Airparser inbox, with the data extracted from each one.
- List Inboxes
Lists all the Airparser inboxes in the connected account.
- Add review
Records a completed review for an assignment (or subject), updating the assignment's SRS stage and its review statistic.
- Add study material
Create a study material (user's custom meaning/reading notes and synonyms) for a subject.
- Find assignments
Returns the user's assignments (their progress on each subject) that match the specified filters, up to 500 per call.
- Find subjects
Returns up to 1,000 WaniKani subjects (radicals, kanji, vocabulary, kana vocabulary) that match the specified ids, types, slugs, levels, hidden state or update time.
- Get study material
Fetches a study material by ID: the subject it belongs to, your meaning and reading notes, and your extra accepted meanings. An error occurs if the study material is not found.
- Get summary
Retrieves the summary report of lessons available now and reviews available now and over the next 24 hours, grouped by the hour.
- Get user
Returns the profile, level, subscription and preferences of the WaniKani user who owns the connected API token.
- Start assignment
Marks a WaniKani assignment as started, moving it from the lessons queue to the review queue, and returns the updated assignment.
- Update study material
Update an existing study material's notes/synonyms.
- Update user
Updates the WaniKani preferences of the user who owns the connected API token. Only preferences can be changed; fields left blank keep their current value.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Airparser and WaniKani, answered
What can start an automation from Airparser?
Any of Airparser's 1 trigger in the catalog, including Document Parsed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in WaniKani when something happens in Airparser?
Any of WaniKani's 10 actions, including Update study material, Update user, Add review and Add study material. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from WaniKani to Airparser?
WaniKani has no triggers in the catalog today, so automations start in Airparser. If you need the other direction, ask: your agent reads WaniKani's API documentation and adds it.
Do I have to build a connector for Airparser or WaniKani?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.