Integration
Connect Asset Panda and Pipefy
When New Collection Record fires in Asset Panda, your agent runs Create Record in Pipefy, or Moved Card in Pipefy to Create Collection Record in Asset Panda. 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 Asset Panda and Pipefy 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Asset Panda and Pipefy can do together
From Asset Panda to Pipefy
When New Collection Record in Asset Panda
then Create Record in Pipefy
From Pipefy to Asset Panda
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 Asset Panda and Pipefy
Triggers and actions 7 triggers · 22 actions
- New Collection Record
Triggers when a new record appears in an Asset Panda collection.
- Create Collection Record
Creates a record in a collection from values keyed by column ID.
- Delete Collection Record
Deletes a record from a collection.
- Get Account
Returns one account's details.
- Get Collection
Returns one collection's details.
- Get Collection Record
Returns one record from a collection.
- Get Module
Returns one module's details.
- List Accounts
Returns the Asset Panda accounts the API key can access.
- List Collection Columns
Returns the columns defined on a collection, with each column's ID, name and type.
- List Collections
Returns the collections in an Asset Panda account module.
- Search Collection Records
Finds records in a collection whose column matches a filter.
- Update Collection Record
Updates a record in a collection with values keyed by column ID.
- 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.
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
Asset Panda and Pipefy, answered
What can start an automation from Asset Panda?
Any of Asset Panda's 1 trigger in the catalog, including New Collection Record. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Pipefy when something happens in Asset Panda?
Any of Pipefy's 11 actions, including Create Card, Create Record, Update Card Field and Update Database Record. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Pipefy to Asset Panda?
Yes. When something happens in Pipefy, your agent can act in Asset Panda too. This page covers both directions: Pipefy's triggers and Asset Panda's actions are listed here as well.
Do I have to build a connector for Asset Panda or Pipefy?
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 Asset Panda and Pipefy 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.