Integration
Connect PostgreSQL to MostExpensiveWatches
When something happens in PostgreSQL, your agent does the next thing in MostExpensiveWatches. 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 PostgreSQL and MostExpensiveWatches 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 PostgreSQL can start in MostExpensiveWatches
When New or Updated Row in PostgreSQL
then Find alternatives 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 PostgreSQL and MostExpensiveWatches
Triggers and actions 4 triggers · 20 actions
- New or Updated Row
Triggers when a new row is added or modified.
- New or Updated Row (Custom Query)
Fires for each new or changed row returned by a SELECT statement you write against the connected PostgreSQL database.
- New Row
Triggers when you add a new row.
- New Table
Fires when a new table appears in the connected PostgreSQL database.
- Add Row
Adds a new row.
- Delete Row
Delete the rows in a table whose chosen column equals a value.
- Find Row
Finds a row in a table via a lookup column.
- Find Rows via Custom Query
Runs a SELECT statement you write against the connected PostgreSQL database and returns every row it matches.
- Find Row via Custom Query
Runs a SELECT statement you write against the connected PostgreSQL database and returns the first row it matches.
- Update Row
Updates an existing row.
- Find alternatives by criteria
Resolve a reference query and return comparable collector alternatives.
- Find listings by criteria
Search live watch marketplace listings by brand/model/reference/price criteria.
- Find reference by text
Resolve fuzzy free-text into a canonical watch reference record.
- Find reviews by criteria
Search localized collector reviews by brand, model, reference or material.
- Get alternatives
Return comparable alternatives for a canonical reference slug.
- Get auction
Return auction lot detail by slug.
- Get brand
Return a one-call brand dossier (inventory stats, listings, references, reviews, auction lots) by brand slug.
- Get market snapshot
Return a compact one-call market snapshot (brands, listings, references, price index highlights).
- Get reference
Return reference detail with matching listings and auction comps by reference slug.
- Get review
Return structured collector review detail by slug.
- List auctions
Return documented auction lots with hammer prices and sale dates.
- List brands
Return tracked luxury watch brands with inventory stats.
- List references
Return the iconic watch reference database.
- List reviews
Return 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
PostgreSQL and MostExpensiveWatches, answered
What can start an automation from PostgreSQL?
Any of PostgreSQL's 4 triggers in the catalog, including New or Updated Row, New or Updated Row (Custom Query), New Row and New Table. Describe the moment in plain language and your agent picks the right one.
What can your agent do in MostExpensiveWatches when something happens in PostgreSQL?
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 PostgreSQL?
MostExpensiveWatches has no triggers in the catalog today, so automations start in PostgreSQL. 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 PostgreSQL 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.
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.