Integration
Connect Request Tracker (RT) to Base64.ai
When Ticket Created fires in Request Tracker (RT), your agent runs Scan a Document by Bytes in Base64.ai. 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 Base64.ai 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 Request Tracker (RT) can start in Base64.ai
When Ticket Created in Request Tracker (RT)
then Scan a Document by Bytes in Base64.ai
When Ticket Status Changed in Request Tracker (RT)
then Scan a Document by URL in Base64.ai
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 Base64.ai
Triggers and actions 3 triggers · 23 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
Match faces/api/face. With one document, detects faces; with document (ground truth) plus query (e.g. selfie), returns matching face coordinates. Accepts base64 data URI or url.
Action
Match signatures/api/signature. With one document, detects signatures; with document (ground truth) plus query, verifies whether the signatures match. Accepts base64 data URI or url.
Action
Scan a Document by BytesScans a document that is provided by a string of bytes (e.g. data:image/png;base64,iVBORw0KGgoAAAANSUhEU...). File can be an image (jpeg, png etc.), PDF, zip or an office document (.doc, .docx, etc.).
Action
Scan a Document by URLScans a document that is provided by a URL or Hydrate File. File can be an image (jpeg, png etc.), PDF, zip or an office document (.doc, .docx, etc.).
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 Base64.ai, 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 Base64.ai when something happens in Request Tracker (RT)?
Any of Base64.ai's 4 actions, including Match faces, Match signatures, Scan a Document by Bytes and Scan a Document by URL. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Base64.ai to Request Tracker (RT)?
Base64.ai has no triggers in the catalog today, so automations start in Request Tracker (RT). If you need the other direction, ask: your agent reads Base64.ai's API documentation and adds it.
Do I have to build a connector for Request Tracker (RT) or Base64.ai?
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.