Integration
Connect Azurevirtualmachines to Web Metadata & Contact Extractor
When New Virtual Machine fires in Azurevirtualmachines, 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 Azurevirtualmachines and Web Metadata & Contact Extractor 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 Azurevirtualmachines can start in Web Metadata & Contact Extractor
When New Virtual Machine in Azurevirtualmachines
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 Azurevirtualmachines and Web Metadata & Contact Extractor
Triggers and actions 1 trigger · 22 actions
- New Virtual Machine
Triggers when a new virtual machine appears in an Azure subscription.
- Deallocate Virtual Machine
Shuts down an Azure virtual machine and releases its compute resources, so compute charges stop until it is started again.
- Get Virtual Machine
Returns a virtual machine's details and its current power state (running, stopped or deallocated).
- List Available VM Sizes
Returns the virtual machine sizes offered in an Azure region, with CPU and memory, and whether each is available to the subscription.
- List Locations
Returns the Azure regions available to a subscription.
- List Resource Groups
Returns the resource groups in an Azure subscription.
- List Subscriptions
Returns the Azure subscriptions the connected app registration can access.
- List Virtual Machines
Returns every virtual machine in an Azure subscription, with its size, region and resource group.
- List Virtual Machines in Resource Group
Returns the virtual machines in one Azure resource group, with their size and region.
- Power Off Virtual Machine
Powers off an Azure virtual machine. The machine stops running but stays allocated, so compute charges continue; use Deallocate Virtual Machine to stop them.
- Restart Virtual Machine
Restarts a running Azure virtual machine. Azure accepts the request and reboots the machine in the background.
- Start Virtual Machine
Starts a stopped or deallocated Azure virtual machine. Azure accepts the request and powers the machine on in the background.
- 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
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Questions
Azurevirtualmachines and Web Metadata & Contact Extractor, answered
What can start an automation from Azurevirtualmachines?
Any of Azurevirtualmachines's 1 trigger in the catalog, including New Virtual Machine. 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 Azurevirtualmachines?
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 Azurevirtualmachines?
Web Metadata & Contact Extractor has no triggers in the catalog today, so automations start in Azurevirtualmachines. 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 Azurevirtualmachines 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.
Can my AI client use Azurevirtualmachines and Web Metadata & Contact Extractor 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.