Integration
Connect SQL Server to Web Metadata & Contact Extractor
When New or Updated Row fires in SQL Server, your agent runs Find lead contacts in Web Metadata & Contact Extractor. 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 SQL Server and Web Metadata & Contact Extractor 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 SQL Server can start in Web Metadata & Contact Extractor
When New or Updated Row in SQL Server
then Find lead contacts in Web Metadata & Contact Extractor
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 SQL Server and Web Metadata & Contact Extractor
Triggers and actions 4 triggers · 18 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 SQL Server database.
- New Row
Triggers when you add a new row.
- New Table
Fires when a new table appears in the connected SQL Server database.
- Add Row
Add one row to a table on the connected SQL Server database.
- Delete Row
Delete the rows in a table whose chosen column equals a value.
- Find Row
Find the first row in a table whose chosen column matches a value.
- Find Rows via Custom Query
Runs a SELECT statement you write against the connected SQL Server database and returns every row it matches.
- Find Row via Custom Query
Runs a SELECT statement you write against the connected SQL Server database and returns the first row it matches.
- Run Custom Statement
Runs a statement you write against the connected SQL Server database that changes data rather than returning rows, and reports how many rows it changed.
- Update Row
Change column values on every row of a table whose chosen column matches a value.
- Audit security headers
Grades a web page's security headers (HSTS, CSP, X-Frame-Options, Referrer Policy and more) and returns a score with a per-header breakdown, optionally including TLS certificate details.
- Audit SEO
Runs a 14-point on-page SEO audit of a web page and returns its score, per-check results, warnings and readability metrics.
- Detect tech stack
Detects the technologies a web page uses (CMS, frameworks, analytics, payment and hosting), with a confidence score and evidence for each.
- Extract links
Returns the hyperlinks found on a web page, classified as internal or external (up to 100), plus any RSS/Atom feeds.
- Extract metadata
Returns the full set of information found on a web page: SEO and OpenGraph metadata, public contacts, social profiles, detected technologies, product data, SEO and security scores, links and readable text.
- Extract metadata in batch
Returns a lightweight link preview (title, description, image, favicon) for up to 10 web pages in one call.
- Extract schema data
Extracts Schema.org JSON-LD structured data and product details (price, currency, availability, brand) from a web page.
- Find lead contacts
Finds the public email addresses, phone numbers and social profile links published on a web page.
- Get domain intel
Returns DNS records (A, AAAA, MX, NS, TXT) and WHOIS registration details such as registrar, creation and expiration dates for a website's domain, without loading the page.
- Get link preview
Returns a social link preview card for a web page: title, description, image, favicon, site name and language.
- Get page as markdown
Returns a web page's main article text as clean Markdown, with its title, word count, reading time, a short summary and top keywords.
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
SQL Server and Web Metadata & Contact Extractor, answered
What can start an automation from SQL Server?
Any of SQL Server'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 Web Metadata & Contact Extractor when something happens in SQL Server?
Any of Web Metadata & Contact Extractor's 11 actions, including Audit security headers, Audit SEO, Detect tech stack and Extract links. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Web Metadata & Contact Extractor to SQL Server?
Web Metadata & Contact Extractor has no triggers in the catalog today, so automations start in SQL Server. If you need the other direction, ask: your agent reads Web Metadata & Contact Extractor's API documentation and adds it.
Do I have to build a connector for SQL Server or Web Metadata & Contact Extractor?
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.