Integration
Connect Conversion Tools to Qstash
When something happens in Conversion Tools, your agent does the next thing in Qstash. Describe it 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 Conversion Tools and Qstash 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 Conversion Tools can start in Qstash
When Conversion Failed in Conversion Tools
then Add queue in Qstash
When Conversion Result Available in Conversion Tools
then Add schedule in Qstash
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 Conversion Tools and Qstash
Triggers and actions 4 triggers · 22 actions
Trigger
Conversion FailedTriggered when a file conversion fails, giving the reason it failed.
Trigger
Conversion Result AvailableTriggered when a finished conversion has its result file ready to download.
Trigger
Conversion StartedTriggered when a new file conversion is submitted, while it is still queued or running.
Trigger
Conversion Successfully FinishedTriggered when a file conversion finishes successfully.
Action
Convert FileUploads a file to Conversion Tools and starts converting it, returning the conversion ID. Use one of the result triggers or Convert File and Get the Result to pick up the converted file.
Action
Convert File and Get the ResultUploads a file to Conversion Tools, converts it, waits for the conversion to finish and returns a link to download the result.
Action
Add queueCreate or update a queue (upsert), setting parallelism.
Action
Add scheduleCreate a cron-based schedule that periodically publishes a message to a destination.
Action
Add URL group endpointCreate a URL group or add/update an endpoint within it (fan-out publishing target).
Action
Batch publish messagesPublish multiple messages to multiple destinations in one call.
Action
Delete DLQ messageRemove a message from the dead-letter queue.
Action
Delete messageCancel a message that has not yet been delivered.
Action
Delete queueDelete a queue by name.
Action
Delete scheduleDelete a schedule by id.
Action
Delete URL groupDeletes a QStash URL group and all its endpoints. In-flight messages are not removed.
Action
Enqueue messageAdd a message to a named queue for sequential delivery.
Action
Get DLQ messageRetrieve a single dead-letter queue message by id.
Action
Get messageRetrieve a queued/published message by id.
Action
Get queueRetrieve a queue's configuration and stats by name.
Action
Get scheduleRetrieve a schedule by id.
Action
Get URL groupRetrieve a URL group and its endpoints by name.
Action
List DLQ messagesList messages that failed delivery and landed in the dead-letter queue.
Action
List queuesList all queues for the account.
Action
Publish messagePublish a single message to a URL or URL group for QStash to deliver.
Action
Retry DLQ messageRe-attempt delivery of a dead-lettered message now.
Action
Update scheduleUpdates an existing QStash schedule by replacing its settings (destination, cron, message and delivery options).
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
Conversion Tools and Qstash, answered
What can start an automation from Conversion Tools?
Any of Conversion Tools's 4 triggers in the catalog, including Conversion Failed, Conversion Result Available, Conversion Started and Conversion Successfully Finished. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Qstash when something happens in Conversion Tools?
Any of Qstash's 20 actions, including Update schedule, Add queue, Add schedule and Add URL group endpoint. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Qstash to Conversion Tools?
Qstash has no triggers in the catalog today, so automations start in Conversion Tools. If you need the other direction, ask: your agent reads Qstash's API documentation and adds it.
Do I have to build a connector for Conversion Tools or Qstash?
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.