Integration
Connect Open Science Framework to Azure Form Recognizer
When New comment fires in Open Science Framework, your agent runs Analyze Invoice in Azure Form Recognizer. 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 Open Science Framework and Azure Form Recognizer 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 Open Science Framework can start in Azure Form Recognizer
When New comment in Open Science Framework
then Analyze Invoice in Azure Form Recognizer
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 Open Science Framework and Azure Form Recognizer
Triggers and actions 3 triggers · 25 actions
- New comment
Polling trigger that fires when a new comment is added to an OSF project.
- New preprint
Polling trigger that fires when a new OSF preprint is created.
- New registration
Polling trigger that fires when a new OSF registration is created.
- Get collection
Retrieve a single OSF collection.
- Get contributor
Retrieve a single contributor on an OSF project.
- Get file
Retrieve metadata for a single OSF file.
- Get preprint
Retrieve a single OSF preprint.
- Get project
Retrieve a single OSF project by id.
- Get registration
Retrieve a single OSF registration.
- Get resource
Retrieve a single OSF outcome resource.
- Get user
Retrieve a single OSF user.
- Get wiki page
Retrieve a single OSF wiki page.
- List collections
List OSF collections.
- List comments
List comments on an OSF project.
- List contributors
List the contributors on an OSF project.
- List preprints
List OSF preprints.
- List project files
List the files stored in an OSF project.
- List projects
List OSF projects (nodes) visible to the user.
- List registrations
List OSF registrations.
- List resources
List OSF outcome resources.
- List users
List OSF users.
- List wiki pages
List the wiki pages on an OSF project.
- Analyze Document
Analyzes a document with a prebuilt or custom model (layout, invoice, receipt, ID, tax form and more) and returns its text, fields, tables and key-value pairs.
- Analyze Invoice
Extracts the key details of an invoice: vendor, customer, invoice number, dates, totals, tax and line items.
- Analyze Receipt
Extracts the key details of a sales receipt: merchant, date and time, subtotal, tax, tip, total and line items.
- Extract Document Layout
Extracts the text, tables, paragraphs and structure of a document, optionally as Markdown.
- Get Document Model
Returns a document model's details, including the document types it recognizes and the fields each one extracts.
- List Document Models
Returns the prebuilt and custom document models available in your resource.
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
Open Science Framework and Azure Form Recognizer, answered
What can start an automation from Open Science Framework?
Any of Open Science Framework's 3 triggers in the catalog, including New comment, New preprint and New registration. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Azure Form Recognizer when something happens in Open Science Framework?
Any of Azure Form Recognizer's 6 actions, including Analyze Document, Analyze Invoice, Analyze Receipt and Extract Document Layout. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Azure Form Recognizer to Open Science Framework?
Azure Form Recognizer has no triggers in the catalog today, so automations start in Open Science Framework. If you need the other direction, ask: your agent reads Azure Form Recognizer's API documentation and adds it.
Do I have to build a connector for Open Science Framework or Azure Form Recognizer?
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 Open Science Framework and Azure Form Recognizer 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.