Integration
Connect Granola to MostExpensiveWatches
When New note fires in Granola, your agent runs Find alternatives by criteria in MostExpensiveWatches. Describe the whole flow 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 Granola and MostExpensiveWatches to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any 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 Granola can start in MostExpensiveWatches
When New note in Granola
then Find alternatives by criteria in MostExpensiveWatches
When New note in Granola
then Find listings by criteria in MostExpensiveWatches
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 Granola and MostExpensiveWatches
Triggers and actions 1 trigger · 19 actions
Trigger
New noteTriggers when a new note is created in Granola, optionally limited to one folder or space.
Action
Get noteReturns a single Granola meeting note with its title, owner, attendees, calendar event, folders, summary and, optionally, its transcript.
Action
Get transcriptReturns the full meeting transcript of a Granola note, one item per spoken segment with speaker, text and start/end times. Works even for very long transcripts that Get note cannot include.
Action
List foldersReturns every folder in the Granola workspace, with each folder's name, parent folder and space.
Action
List notesReturns the Granola meeting notes you have access to, optionally limited to a folder or space or to a created/updated date range.
Action
List spacesReturns all the spaces in your Granola workspace, with each space's id and name.
Action
Find alternatives by criteriaResolve a reference query and return comparable collector alternatives.
Action
Find listings by criteriaSearch live watch marketplace listings by brand/model/reference/price criteria.
Action
Find reference by textResolve fuzzy free-text into a canonical watch reference record.
Action
Find reviews by criteriaSearch localized collector reviews by brand, model, reference or material.
Action
Get alternativesReturn comparable alternatives for a canonical reference slug.
Action
Get auctionReturn auction lot detail by slug.
Action
Get brandReturn a one-call brand dossier (inventory stats, listings, references, reviews, auction lots) by brand slug.
Action
Get market snapshotReturn a compact one-call market snapshot (brands, listings, references, price index highlights).
Action
Get referenceReturn reference detail with matching listings and auction comps by reference slug.
Action
Get reviewReturn structured collector review detail by slug.
Action
List auctionsReturn documented auction lots with hammer prices and sale dates.
Action
List brandsReturn tracked luxury watch brands with inventory stats.
Action
List referencesReturn the iconic watch reference database.
Action
List reviewsReturn structured collector reviews with scores, checklist and market context.
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
Granola and MostExpensiveWatches, answered
What can start an automation from Granola?
Any of Granola's 1 trigger in the catalog, including New note. Describe the moment in plain language and your agent picks the right one.
What can your agent do in MostExpensiveWatches when something happens in Granola?
Any of MostExpensiveWatches's 14 actions, including Find alternatives by criteria, Find listings by criteria, Find reference by text and Find reviews by criteria. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from MostExpensiveWatches to Granola?
MostExpensiveWatches has no triggers in the catalog today, so automations start in Granola. If you need the other direction, ask: your agent reads MostExpensiveWatches's API documentation and adds it.
Do I have to build a connector for Granola or MostExpensiveWatches?
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.
Can my AI client use Granola and MostExpensiveWatches without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
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.