Integration
Connect Pipefy to Pinboard
When Moved Card fires in Pipefy, your agent runs List Notes in Pinboard. 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 Pipefy and Pinboard 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 Pipefy can start in Pinboard
When Moved Card in Pipefy
then List Notes in Pinboard
When New Card in Pipefy
then Rename Tag in Pinboard
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 Pinboard
Triggers and actions 6 triggers · 21 actions
Trigger
Done CardTriggers when a card is done.
Trigger
Moved CardTriggers when a card is moved.
Trigger
New CardTriggers when a new card is created.
Trigger
New Database RecordTriggers when a new record is created.
Trigger
Updated Card FieldTriggers when a card field is updated.
Trigger
Updated Record FieldTriggers when a record field is updated.
Action
Create CardCreates a card in a Pipefy pipe, filling in its start form fields.
Action
Create RecordCreates a new table record.
Action
Delete CardPermanently deletes a card from its pipe.
Action
Delete Database RecordDelete a database table record by ID via the GraphQL `deleteTableRecord(input: {id})` mutation.
Action
Find CardReturns the cards in a pipe whose chosen field matches the specified value.
Action
Find Database RecordsFind a database records by title.
Action
Get CardRetrieves a single Pipefy card by its id, including its phase, pipe, assignees, labels, attachments and field values.
Action
Get Database RecordFetch a single database table record by ID via the GraphQL `table_record(id: ID)` query.
Action
Move CardMoves a Pipefy card to another phase of its pipe.
Action
Update Card FieldSets a new value on one field of an existing Pipefy card.
Action
Update Database RecordUpdate a database table record's title/fields via the GraphQL `updateTableRecord(input: {id, title})` mutation.
Action
Create BookmarkSaves a new bookmark to your Pinboard account, or replaces the existing one for the same URL.
Action
Delete BookmarkDeletes the bookmark saved for a URL.
Action
Delete TagDeletes a tag from every bookmark that carries it.
Action
Find Bookmark by URLFinds the bookmark saved for a URL and returns its title, description and tags.
Action
Find bookmarks by tag and dateReturns the bookmarks saved on a single day, optionally filtered by up to three tags. With no date, the day of your most recent bookmark is used.
Action
List NotesReturns the notes saved in your Pinboard account.
Action
List Recent BookmarksReturns your most recent bookmarks, optionally only those with given tags.
Action
List TagsReturns all your tags with how many bookmarks use each.
Action
Rename TagRenames a tag on all your bookmarks, or merges it into an existing tag.
Action
Suggest TagsReturns popular and recommended tags for a URL.
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 Pinboard, 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 Pinboard when something happens in Pipefy?
Any of Pinboard's 10 actions, including Create Bookmark, List Notes, List Tags and Rename Tag. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Pinboard to Pipefy?
Pinboard has no triggers in the catalog today, so automations start in Pipefy. If you need the other direction, ask: your agent reads Pinboard's API documentation and adds it.
Do I have to build a connector for Pipefy or Pinboard?
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 Pipefy and Pinboard 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.