Build solutions, not workarounds.
What do you want Pipefy and Orq Ai to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Pipefy can start in Orq Ai
When Moved Card in Pipefy
then Add agent in Orq Ai
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 Pipefy and Orq Ai
Triggers and actions 6 triggers · 32 actions
- Done Card
Triggers when a card is done.
- Moved Card
Triggers when a card is moved.
- New Card
Triggers when a new card is created.
- New Database Record
Triggers when a new record is created.
- Updated Card Field
Triggers when a card field is updated.
- Updated Record Field
Triggers when a record field is updated.
- Create Card
Creates a card in a Pipefy pipe, filling in its start form fields.
- Create Record
Creates a new table record.
- Delete Card
Permanently deletes a card from its pipe.
- Delete Database Record
Delete a database table record by ID via the GraphQL `deleteTableRecord(input: {id})` mutation.
- Find Card
Returns the cards in a pipe whose chosen field matches the specified value.
- Find Database Records
Find a database records by title.
- Get Card
Retrieves a single Pipefy card by its id, including its phase, pipe, assignees, labels, attachments and field values.
- Get Database Record
Fetch a single database table record by ID via the GraphQL `table_record(id: ID)` query.
- Move Card
Moves a Pipefy card to another phase of its pipe.
- Update Card Field
Sets a new value on one field of an existing Pipefy card.
- Update Database Record
Update a database table record's title/fields via the GraphQL `updateTableRecord(input: {id, title})` mutation.
- Add agent
Create a new managed agent.
- Add datapoint
Adds a datapoint (inputs, conversation messages and an expected output) to an Orq.ai dataset.
- Add dataset
Creates a new dataset in the specified Orq.ai project.
- Add evaluator
Create a new evaluator.
- Add prompt
Creates a new prompt in the Orq.ai workspace.
- Add tool
Creates a new tool (function, JSON schema, HTTP or Python code tool) in the Orq.ai workspace.
- Delete datapoint
Permanently deletes a specific datapoint from a dataset.
- Delete dataset
Permanently deletes a dataset and all its datapoints. This cannot be undone.
- Delete prompt
Delete a prompt and all its versions by ID.
- Get dataset
Retrieves a specific dataset by its unique identifier.
- Get prompt
Retrieves a prompt by its id, including its model configuration, messages and metadata.
- Invoke deployment
Run a deployed prompt/model configuration and get the generation result.
- List agents
Lists all agents in the Orq.ai workspace with their full configuration, newest first.
- List datapoints
Retrieves a list of datapoints from a specific dataset.
- List datasets
Lists datasets in the current Orq workspace, optionally filtered by display name or last updater.
- List deployments
Returns the workspace's deployments, most recently created first.
- List evaluators
Lists evaluators in the Orq.ai workspace, optionally filtered by search text or project. Returns up to 200 evaluators.
- List prompts
Returns the prompts in the workspace, most recently created first.
- List tools
Lists every tool in the Orq.ai workspace (function, JSON schema, HTTP and code execution tools).
- Update dataset
Update a dataset's name/config.
- Update prompt
Update an existing Orq.ai prompt's name, description, model configuration, metadata or storage path. Only the fields you fill in are changed.
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
Pipefy and Orq Ai, answered
What can start an automation from Pipefy?
Any of Pipefy's 6 triggers in the catalog, including Moved Card, New Card, New Database Record and Updated Card Field. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Orq Ai when something happens in Pipefy?
Any of Orq Ai's 21 actions, including Update dataset, Update prompt, Add agent and Add datapoint. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Orq Ai to Pipefy?
Orq Ai has no triggers in the catalog today, so automations start in Pipefy. If you need the other direction, ask: your agent reads Orq Ai's API documentation and adds it.
Do I have to build a connector for Pipefy or Orq Ai?
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.
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.