Integration
Connect Affinda and Azurevirtualmachines
When Document parsed (instant) fires in Affinda, your agent runs Deallocate Virtual Machine in Azurevirtualmachines, or New Virtual Machine in Azurevirtualmachines to Add document in Affinda. 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 Affinda and Azurevirtualmachines 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 Affinda and Azurevirtualmachines can do together
From Affinda to Azurevirtualmachines
When Document parsed (instant) in Affinda
then Deallocate Virtual Machine in Azurevirtualmachines
From Azurevirtualmachines to Affinda
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 Affinda and Azurevirtualmachines
Triggers and actions 2 triggers ยท 17 actions
- Document parsed (instant)
Fires via a resthook subscription when Affinda finishes parsing a document.
- Add document
Upload a document (resume, invoice, job description, etc.) to Affinda for parsing.
- Delete document
Delete a document from Affinda.
- Find job descriptions by search expression
Search through parsed job descriptions matching given criteria.
- Get document
Retrieve a specific document and its parsed data by identifier.
- List documents
List all documents uploaded to Affinda.
- Search resumes
Search through parsed resumes matching given criteria.
- 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.
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
Affinda and Azurevirtualmachines, answered
What can start an automation from Affinda?
Any of Affinda's 1 trigger in the catalog, including Document parsed (instant). Describe the moment in plain language and your agent picks the right one.
What can your agent do in Azurevirtualmachines when something happens in Affinda?
Any of Azurevirtualmachines's 11 actions, including Deallocate Virtual Machine, Get Virtual Machine, List Available VM Sizes and List Locations. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Azurevirtualmachines to Affinda?
Yes. When something happens in Azurevirtualmachines, your agent can act in Affinda too. This page covers both directions: Azurevirtualmachines's triggers and Affinda's actions are listed here as well.
Do I have to build a connector for Affinda or Azurevirtualmachines?
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 Affinda and Azurevirtualmachines 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.