Integration
Connect Pneumatic to Azure Ai Vision
When Task Completed fires in Pneumatic, your agent runs Analyze Image in Azure Ai Vision. 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 Pneumatic and Azure Ai Vision 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 Pneumatic can start in Azure Ai Vision
When Task Completed in Pneumatic
then Analyze Image in Azure Ai Vision
When Workflow Completed in Pneumatic
then Describe Image in Azure Ai Vision
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 Pneumatic and Azure Ai Vision
Triggers and actions 4 triggers · 12 actions
Trigger
Task CompletedTriggers when some task is completed.
Trigger
Task ReturnedTriggers when a process is returned to this task.
Trigger
Workflow CompletedTriggers when a workflow is completed.
Trigger
Workflow StartedTriggers when a new workflow is started.
Action
Get TaskGet a single task by id.
Action
Get TemplateGet a specific workflow template by id.
Action
List TasksList tasks in the account.
Action
List TemplatesList all workflow templates in the account.
Action
List UsersList users in the account.
Action
Run WorkflowRun a New Workflow
Action
Update TaskComplete a task.
Action
Analyze ImageAnalyzes an image and returns the visual features you ask for: caption, tags, categories, objects, brands, dominant colors, image type and adult-content scores.
Action
Describe ImageGenerates human-readable captions for an image, ranked by confidence, plus descriptive tags.
Action
Detect ObjectsFinds objects in an image and returns each one's name, confidence and bounding box.
Action
Extract Text from Image (OCR)Reads printed and handwritten text in an image and returns the full text plus each line with its position.
Action
Tag ImageReturns content tags for an image (objects, living beings, scenery and actions), each with a confidence score.
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
Pneumatic and Azure Ai Vision, answered
What can start an automation from Pneumatic?
Any of Pneumatic's 4 triggers in the catalog, including Task Completed, Workflow Completed, Task Returned and Workflow Started. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Azure Ai Vision when something happens in Pneumatic?
Any of Azure Ai Vision's 5 actions, including Analyze Image, Describe Image, Detect Objects and Extract Text from Image (OCR). Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Azure Ai Vision to Pneumatic?
Azure Ai Vision has no triggers in the catalog today, so automations start in Pneumatic. If you need the other direction, ask: your agent reads Azure Ai Vision's API documentation and adds it.
Do I have to build a connector for Pneumatic or Azure Ai Vision?
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 Pneumatic and Azure Ai Vision 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.