Integration
Connect PostgreSQL to Micro-SaaS AI Suite
When New or Updated Row fires in PostgreSQL, your agent runs Classify support ticket in Micro-SaaS AI Suite. 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 PostgreSQL and Micro-SaaS AI Suite 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 PostgreSQL can start in Micro-SaaS AI Suite
When New or Updated Row in PostgreSQL
then Classify support ticket in Micro-SaaS AI Suite
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 Micro-SaaS AI Suite
Triggers and actions 4 triggers · 25 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.
- Analyze review sentiment
Analyzes a product review and returns its overall sentiment and the product features it mentions.
- Classify support ticket
Classifies a customer support ticket by category, urgency and customer sentiment, and returns a suggested action and a draft reply.
- Compare product specs
Compares two products' specifications with AI and returns the winner in each category, the key differences, and an overall recommendation.
- Crawl website to markdown
Crawls a website starting from a URL and returns its content converted to markdown, with word and token counts.
- Detect fake review
Scores a product review for authenticity and returns a verdict (Genuine, Suspicious or Bot / Spam) with the risk factors found.
- Enrich B2B company
Returns firmographics, tech stack and decision makers for a company, looked up by its website domain.
- Enrich B2B lead
Enriches a B2B lead with firmographics, an intent score, and a suggested decision maker for the company.
- Generate product copy
Generates an SEO title, description, bullet points and keywords for a product from its name and key features.
- Parse document
Extracts structured data (merchant, date, totals, tax and line items) from a receipt, invoice, business card or general document image at a URL.
- Review PR diff
Reviews a pull request diff for security issues and returns a score, grade, verdict and comments.
- Scan GitHub repo
Scans a public GitHub repository and returns its details, detected tech stack, top contributors as developer leads, and repository health indicators.
- Scrape and extract web page
Scrapes a web page and returns the requested fields extracted into structured data.
- Scrape Google Maps
Searches Google Maps for businesses matching a term in a location and returns the places found, optionally enriched with contact details.
- Scrape Google SERP
Searches Google for a keyword and returns the organic results, People Also Ask questions and sponsored ads.
- Scrape Instagram profile
Scrapes public Instagram data for a profile username, a post URL, or a hashtag and returns the scraped items.
- Scrape Reddit
Scrapes Reddit posts (and optionally their comments) from a post URL, a subreddit, or a keyword search.
- Scrape YouTube Shorts
Returns YouTube Shorts videos from a channel or matching a search keyword.
- Track ecommerce price
Returns the current price, original price, discount, stock status and rating for an ecommerce product page.
- Verify email
Checks an email address for valid format, disposable provider and mail servers, and returns a deliverability score and verdict.
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
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Questions
PostgreSQL and Micro-SaaS AI Suite, 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 Micro-SaaS AI Suite when something happens in PostgreSQL?
Any of Micro-SaaS AI Suite's 19 actions, including Analyze review sentiment, Classify support ticket, Compare product specs and Crawl website to markdown. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Micro-SaaS AI Suite to PostgreSQL?
Micro-SaaS AI Suite has no triggers in the catalog today, so automations start in PostgreSQL. If you need the other direction, ask: your agent reads Micro-SaaS AI Suite's API documentation and adds it.
Do I have to build a connector for PostgreSQL or Micro-SaaS AI Suite?
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 PostgreSQL and Micro-SaaS AI Suite 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.