LLM & AI Agent Integration

Connect your AI assistant to CloudAI Workflow with MCP

CloudAI Workflow includes a first-party MCP server for governed workflow operations. MCP-compatible assistants such as Claude, ChatGPT/Codex, Cursor, and other agents can build forms, inspect schemas, submit responses, and read results using the signed-in user's organization permissions.

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In short

CloudAI Workflow provides a built-in MCP (Model Context Protocol) server named cloudai-workflow. Any MCP-compatible AI assistant can connect, sign in with a CloudAI Workflow account, and then list forms, read form schemas, create and publish forms, submit responses, and read responses — limited to that user's organization and role, with every action logged per user and organization.

When an MCP workflow integration fits

Best fit

Teams that want an AI assistant to create forms, read submissions, and help route operational work.
Admins who need user-scoped permissions instead of shared AI logins.
Organizations that want AI actions recorded and tied to one signed-in person.

Not the best fit

Teams that want an AI assistant to bypass approvals or act without a user.
Use cases that need unrestricted access outside CloudAI Workflow permissions.
One-off experiments where no audit trail or admin visibility is required.

Problems this integration removes

AI assistants can draft and analyze, but the results still have to be retyped into your operations tools by hand.

Giving an AI tool access to business data usually means shared logins and zero visibility into what it did.

Building forms and chasing responses takes clicks and follow-ups that a capable assistant could handle in one conversation.

What a connected assistant can do

Build and publish forms from chat

Describe the form you need and the assistant creates the fields, options, and shareable link so the workflow can start collecting responses.

Read and evaluate form schemas

The assistant can inspect any form's structure before filling it, so submissions match your fields and validation.

Submit and retrieve responses

Post responses or pull the latest submissions in plain language while workflow triggers and notifications behave like normal in-app activity.

Find answers with ChatGPT deep research

The server exposes the search and fetch tools ChatGPT's connectors and deep research expect, so an assistant can look up the right form by keyword and read it as a document.

Per-user, per-organization audit trail

Every AI action is tied to one signed-in person and one organization, with a record of which tool ran, which form it touched, and whether it succeeded.

Why teams connect their assistant

Operations work moves at chat speed

Creating a form, checking submissions, or routing a response becomes a plain-language request instead of a tool-switching session.

AI access without shared logins

Each member connects with their own sign-in; access dies automatically when they leave the organization.

Trustworthy adoption

Admins can see which connections exist and what each one did, so AI usage is observable instead of invisible.

Safety and integration proof

Per-user permissions

The assistant acts with the connected user's organization permissions, so access follows the same boundaries as the app.

Audited tool calls

Each AI action records which tool ran, which form it touched, and whether the action succeeded.

Real workflow side effects

Submitted responses trigger the same workflow activity and notifications as normal in-app submissions.

Frequently asked questions

Which AI assistants can connect to CloudAI Workflow?

Any client that supports MCP (Model Context Protocol): the Claude app and Claude Code, ChatGPT (custom connectors and deep research), Codex, Cursor, and other MCP-compatible agents. OAuth-capable clients sign in with a browser; CLI tools use personal access tokens.

What is MCP?

MCP (Model Context Protocol) is an open standard that lets AI assistants use an application's features as tools. CloudAI Workflow exposes its forms module through an MCP server named cloudai-workflow.

Can an AI assistant create workflows in CloudAI Workflow?

An assistant can create and publish forms, inspect form schemas, submit responses, retrieve submissions, and trigger the same form-based workflow activity that happens in the app.

What can MCP clients do with CloudAI Workflow?

MCP clients can search for forms, read form details, create forms, submit form responses, and retrieve submissions, depending on the connected user's permissions.

Is it safe to let an AI assistant touch our business data?

Connections are per person and per organization. The assistant gets the same permissions as the signed-in user, and each action is recorded in an audit log without storing form answers in that log.

How do we revoke access?

Tokens can be revoked instantly by the owner or an organization admin, expire automatically, and stop working the moment the owner leaves the organization.

Does this cost extra or run in the background?

No. The integration is part of the platform and only acts when a user asks their assistant to do something.

Bring your AI assistant into your operations

Book a demo to see a connected assistant build a form, collect responses, and stay fully auditable — or start a trial and connect your own.