Integration
Connect Azurevirtualmachines to Pdforge
When New Virtual Machine fires in Azurevirtualmachines, your agent runs Add template in Pdforge. 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 Pdforge 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 Pdforge
When New Virtual Machine in Azurevirtualmachines
then Add template in Pdforge
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 Pdforge
Triggers and actions 1 trigger · 24 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.
- Add template
Starts AI creation of a new PDF template from a text prompt (and optional reference file). Creation runs asynchronously and usually takes a couple of minutes; the returned template id can be used to check its status.
- Compress PDF
Compresses a PDF from a public URL to reduce its file size, returning a signed download URL for the compressed file.
- Convert HTML to PDF
Converts HTML into a PDF (or PNG) synchronously and returns a temporary signed URL to the generated file. If rendering takes longer than 30 seconds, the job is queued and a request id and status URL are returned instead.
- Convert Markdown to PDF
Convert Markdown text (headings, lists, tables, code blocks) into a styled PDF document.
- Generate PDF from template
Generates a PDF (or PNG) from one of your PDF Noodle templates and waits for it to finish, returning a temporary download link.
- Get PDF status
Retrieve the status of a single PDF generation request, and its download link once rendering succeeds.
- Get template
Retrieves a template's full details, or its creation status if it is still being created with AI.
- Get template variables
Retrieves the variable schema for a template: every data placeholder (including nested objects and arrays) that can be supplied when generating a PDF from it.
- Get tool status
Retrieve the status of a PDF tool operation (merge, split, compress, markdown to PDF, metadata update) using the request id returned by an async request or a synchronous request that timed out.
- List templates
Lists every template available in your pdf noodle account, with each template's id and display name.
- Merge PDFs
Combine two or more publicly accessible PDF files into a single PDF, merged in the order given. Returns a temporary download link to the merged file, or a request id to check later when the merge runs in the background.
- Split PDF
Split a single PDF into multiple smaller PDFs by page ranges or regular intervals.
- Update PDF metadata
Updates the embedded metadata (title, author, subject, keywords and more) of a PDF at a public URL and returns a link to the updated file. The original PDF content is preserved.
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
Azurevirtualmachines and Pdforge, 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 Pdforge when something happens in Azurevirtualmachines?
Any of Pdforge's 13 actions, including Update PDF metadata, Add template, Compress PDF and Convert HTML to PDF. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Pdforge to Azurevirtualmachines?
Pdforge has no triggers in the catalog today, so automations start in Azurevirtualmachines. If you need the other direction, ask: your agent reads Pdforge's API documentation and adds it.
Do I have to build a connector for Azurevirtualmachines or Pdforge?
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 Pdforge 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.