Integration
Connect Request Tracker (RT) to Tagbox.io
When Ticket Created fires in Request Tracker (RT), your agent runs Add file to collections in Tagbox.io. 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 Request Tracker (RT) and Tagbox.io 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)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 Request Tracker (RT) can start in Tagbox.io
When Ticket Created in Request Tracker (RT)
then Add file to collections in Tagbox.io
When Ticket Status Changed in Request Tracker (RT)
then Add tags to file in Tagbox.io
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 Request Tracker (RT) and Tagbox.io
Triggers and actions 3 triggers · 34 actions
Trigger
Ticket CorrespondenceTriggers when a ticket is replied to (that is, corresponded with).
Trigger
Ticket CreatedTriggers when a new Request Tracker ticket is created.
Trigger
Ticket Status ChangedTriggers when a Request Tracker ticket changes status. Can watch for any status change or only for changes to a specific status.
Action
Add assetCreate an asset.
Action
Add userCreate a user.
Action
Comment on a TicketAdd an internal comment to a ticket and send to any internal watchers.
Action
Create TicketCreate a new ticket in Request Tracker.
Action
Find AttachmentLocate an attachment by ID.
Action
Find TicketLocate a ticket by ID.
Action
Find TicketsIssue a query to find matching tickets.
Action
Find TransactionFind a transaction by ID
Action
Get assetRetrieves one asset by ID: name, description, status, catalog, owner, held by, contact, custom fields.
Action
Get queueGet a queue by id or name.
Action
Get userGet a user by id or name.
Action
List queuesList all queues visible to user.
Action
List ticket historyList transactions of a ticket.
Action
Reply to a TicketReply to the requestor and any internal or external watchers of a ticket.
Action
Update ticketGeneral ticket update (Owner, Priority, Queue, custom fields).
Action
Update Ticket Due DateUpdate the due date of a ticket.
Action
Update Ticket StatusUpdate the status of a ticket.
Action
Update Ticket SubjectUpdate the subject of a ticket.
Action
Update userUpdate a user.
Action
Add collectionCreates a collection in your Tagbox workspace. If a collection with the same name already exists, that existing collection is returned instead of creating a duplicate.
Action
Add file to collectionsAdds a Tagbox file to one or more existing collections and returns the updated file.
Action
Add tagCreates a new tag in your Tagbox workspace, optionally placing it in a category.
Action
Add tags to fileAdds one or more existing tags to a file in your Tagbox workspace and returns the updated file.
Action
Delete fileDeletes a file from your Tagbox workspace. The file disappears from search and the app but can be restored from Tagbox.
Action
Delete tagPermanently deletes a tag from your Tagbox workspace and removes it from every file it was applied to.
Action
Find filesReturns the files in your Tagbox workspace that match the search text and filters you specify, such as tags, collections, people, file type, colors, rating and creation date.
Action
Get fileReturns a single file from your Tagbox workspace, including its name, tags, collections and preview links.
Action
Get file transcriptionReturns the speech-to-text transcript of a video or audio file, including the full text, timestamped segments and WebVTT/SRT subtitles. When no transcript is available yet, returns its status instead.
Action
List collectionsReturns every collection in your Tagbox workspace, with each collection's name and file count.
Action
List tagsReturns every tag in the Tagbox workspace, with each tag's name, file count and categories.
Action
Remove tags from fileRemoves one or more tags from a file in your Tagbox workspace. The tags themselves are not deleted.
Action
Update fileUpdates a file's name, description or star rating in your Tagbox workspace and returns the updated file.
Action
Update tagRenames a tag in your Tagbox workspace. If another tag already has the new name, the two tags are merged into one.
Action
Upload FileUploads a file into your Tagbox workspace from a URL, optionally naming, describing, tagging and adding it to collections.
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
Request Tracker (RT) and Tagbox.io, answered
What can start an automation from Request Tracker (RT)?
Any of Request Tracker (RT)'s 3 triggers in the catalog, including Ticket Created, Ticket Status Changed and Ticket Correspondence. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Tagbox.io when something happens in Request Tracker (RT)?
Any of Tagbox.io's 15 actions, including Update file, Update tag, Upload File and Add collection. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Tagbox.io to Request Tracker (RT)?
Tagbox.io has no triggers in the catalog today, so automations start in Request Tracker (RT). If you need the other direction, ask: your agent reads Tagbox.io's API documentation and adds it.
Do I have to build a connector for Request Tracker (RT) or Tagbox.io?
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 Request Tracker (RT) and Tagbox.io 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.