Integration
Connect Badgr and Pinata
When New Assertion fires in Badgr, your agent runs Add file to group in Pinata, or New Pin in Pinata to Issue Badge in Badgr. 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 Badgr and Pinata 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 Badgr and Pinata can do together
From Badgr to Pinata
When New Assertion in Badgr
then Add file to group in Pinata
When New Assertion in Badgr
then Update file in Pinata
From Pinata to Badgr
When New Pin in Pinata
then Issue Badge in Badgr
When New Pin in Pinata
then Create Badge Class in Badgr
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 Badgr and Pinata
Triggers and actions 2 triggers · 23 actions
Trigger
New AssertionTriggers when a badge is awarded from the chosen badge class.
Action
Create Badge ClassCreates a new badge class under an issuer.
Action
Get AssertionReturns one awarded badge (assertion) by its entity ID.
Action
Get Badge ClassReturns one badge class by its entity ID.
Action
Get IssuerReturns one issuer by its entity ID.
Action
Issue BadgeAwards a badge from a badge class to a recipient's email address.
Action
List Badge Class AssertionsReturns the badges awarded from a badge class, optionally only to one recipient.
Action
List Badge ClassesReturns the badge classes defined under an issuer.
Action
List IssuersReturns the issuers your Parchment Digital Badges account can award badges from.
Action
Revoke AssertionRevokes an awarded badge, recording the reason shown to viewers.
Trigger
New PinTriggers when you have a new pinned file.
Action
Add file to groupAssociates an existing file with a group by ID.
Action
Add groupAdds a new group for organizing pinned files.
Action
Delete fileDeletes a file from your Pinata account on the public or private IPFS network.
Action
Delete groupDeletes a group from your Pinata account on the public or private IPFS network. Files in the group are not deleted.
Action
Get fileFetches a file's metadata by ID. An error occurs if the file is not found.
Action
Get groupRetrieves a single Pinata group by its id on the public or private IPFS network.
Action
List filesReturns all files on the chosen IPFS network, optionally filtered.
Action
List groupsReturns all groups on the account.
Action
Pin FileUploads (pins) a file to Pinata on the public or private IPFS network.
Action
Pin JSON to IPFSUploads a JSON object to Pinata and pins it to public IPFS, returning its CID.
Action
Pin NFT Metadata FileUploads a JSON object (such as NFT metadata with name, description, image and attributes) to Pinata and pins it to IPFS, returning its CID.
Action
Remove file from groupRemoves a file from a group on the public or private IPFS network. The file itself is not deleted.
Action
Update fileUpdates the name and/or key-value metadata of a file on Pinata's public or private IPFS network.
Action
Update groupUpdates the name or public/private setting of a Pinata group.
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
Badgr and Pinata, answered
What can start an automation from Badgr?
Any of Badgr's 1 trigger in the catalog, including New Assertion. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Pinata when something happens in Badgr?
Any of Pinata's 14 actions, including Update file, Update group, Add file to group and Add group. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Pinata to Badgr?
Yes. When something happens in Pinata, your agent can act in Badgr too. This page covers both directions: Pinata's triggers and Badgr's actions are listed here as well.
Do I have to build a connector for Badgr or Pinata?
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 Badgr and Pinata 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.