LLM & AI Agent Integration
Connect your AI assistant to CloudAI Workflow with MCP
CloudAI Workflow ships a first-party MCP server, so any MCP-compatible assistant — Claude, ChatGPT/Codex, Cursor, and others — can build forms, submit responses, and read results as a signed-in member of your organization.
- AI-first Teams
- Operations Teams
- Admins
- Developers
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.
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 it — fields, options, and a shareable link — ready to collect 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. Workflow triggers and notifications fire exactly like in-app activity.
Per-user, per-organization audit trail
Every AI action is tied to one signed-in person and one organization, with a log of which tool ran, on which form, and whether it succeeded.
Why teams connect their assistant
Operations work moves at chat speed
Creating a form or checking responses becomes one message 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 exactly which connections exist and what each one did — so AI usage is observable, not invisible.
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/Codex-based tools, 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.
Is it safe to let an AI assistant touch our business data?
Connections are per person and per organization. The assistant gets exactly the permissions that user has in the app — members submit and read their own responses, admins manage forms — and every action is recorded in an audit log that never stores form answers.
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.
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