Integration
Connect Meet Alfred to Qstash
When New Campaign fires in Meet Alfred, your agent runs Batch publish messages in Qstash. 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 Meet Alfred and Qstash 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 Meet Alfred can start in Qstash
When New Campaign in Meet Alfred
then Batch publish messages 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 Meet Alfred and Qstash
Triggers and actions 4 triggers · 23 actions
- New Campaign
Triggers when a new campaign is created in Meet Alfred.
- New Connection Found
Triggers when a new connection is added to your LinkedIn network in Meet Alfred.
- New Lead Found
Triggers when a new lead is added to a Meet Alfred campaign.
- New Reply Detected
Triggers when Meet Alfred detects a LinkedIn or email reply from a lead.
- List Recent Actions
Returns the latest actions Meet Alfred performed of one type, such as invites sent, messages sent or replies received.
- List Team Member Connections
Returns a team member's LinkedIn connections for a date range, today's by default. Call it with that member's webhook key.
- List Team Members
Returns your Meet Alfred team members with their webhook keys and timezones. Only the team owner can use it.
- Add queue
Create or update a queue (upsert), setting parallelism.
- Add schedule
Create a cron-based schedule that periodically publishes a message to a destination.
- Add URL group endpoint
Create a URL group or add/update an endpoint within it (fan-out publishing target).
- Batch publish messages
Publish multiple messages to multiple destinations in one call.
- Delete DLQ message
Remove a message from the dead-letter queue.
- Delete message
Cancel a message that has not yet been delivered.
- Delete queue
Delete a queue by name.
- Delete schedule
Delete a schedule by id.
- Delete URL group
Deletes a QStash URL group and all its endpoints. In-flight messages are not removed.
- Enqueue message
Add a message to a named queue for sequential delivery.
- Get DLQ message
Retrieve a single dead-letter queue message by id.
- Get message
Retrieve a queued/published message by id.
- Get queue
Retrieve a queue's configuration and stats by name.
- Get schedule
Retrieve a schedule by id.
- Get URL group
Retrieve a URL group and its endpoints by name.
- List DLQ messages
List messages that failed delivery and landed in the dead-letter queue.
- List queues
List all queues for the account.
- Publish message
Publish a single message to a URL or URL group for QStash to deliver.
- Retry DLQ message
Re-attempt delivery of a dead-lettered message now.
- Update schedule
Updates 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
Meet Alfred and Qstash, answered
What can start an automation from Meet Alfred?
Any of Meet Alfred's 4 triggers in the catalog, including New Campaign, New Connection Found, New Lead Found and New Reply Detected. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Qstash when something happens in Meet Alfred?
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 Meet Alfred?
Qstash has no triggers in the catalog today, so automations start in Meet Alfred. 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 Meet Alfred 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.
Can my AI client use Meet Alfred and Qstash 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.