Integration
Connect Pipefy and PostgreSQL
When something happens in Pipefy or PostgreSQL, your agent does the next thing in the other. Describe it 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 Pipefy and PostgreSQL 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 and PostgreSQL can do together
From Pipefy to PostgreSQL
When Moved Card in Pipefy
then Add Row in PostgreSQL
From PostgreSQL to Pipefy
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 PostgreSQL
Triggers and actions 10 triggers ยท 17 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.
- New or Updated Row
Triggers when a new row is added or modified.
- New or Updated Row (Custom Query)
Fires for each new or changed row returned by a SELECT statement you write against the connected PostgreSQL database.
- New Row
Triggers when you add a new row.
- New Table
Fires when a new table appears in the connected PostgreSQL database.
- Add Row
Adds a new row.
- Delete Row
Delete the rows in a table whose chosen column equals a value.
- Find Row
Finds a row in a table via a lookup column.
- Find Rows via Custom Query
Runs a SELECT statement you write against the connected PostgreSQL database and returns every row it matches.
- Find Row via Custom Query
Runs a SELECT statement you write against the connected PostgreSQL database and returns the first row it matches.
- Update Row
Updates an existing row.
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 PostgreSQL, 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 PostgreSQL when something happens in Pipefy?
Any of PostgreSQL's 6 actions, including Update Row, Add Row, Find Row and Find Rows via Custom Query. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from PostgreSQL to Pipefy?
Yes. When something happens in PostgreSQL, your agent can act in Pipefy too. This page covers both directions: PostgreSQL's triggers and Pipefy's actions are listed here as well.
Do I have to build a connector for Pipefy or PostgreSQL?
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.