Integration
Connect Beanstalk and Datalyse
When New Repository fires in Beanstalk, your agent runs Add Note to an Existing Lead in Datalyse, or Lead Updated in Datalyse to Get User in Beanstalk. 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 Beanstalk and Datalyse 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 Beanstalk and Datalyse can do together
From Beanstalk to Datalyse
When New Repository in Beanstalk
then Add Note to an Existing Lead in Datalyse
From Datalyse to Beanstalk
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 Beanstalk and Datalyse
Triggers and actions 4 triggers · 13 actions
- New Repository
Polls for newly created repositories.
- New User
Polls for newly added users.
- Add public key
Add an SSH public key for Git authentication.
- Create Repository
Create a new repository in the Beanstalk account.
- Get Repository
Retrieve a single repository by ID.
- Get User
Retrieve a single user by ID.
- List public keys
List SSH public keys for users on the account.
- List Repositories
List all repositories in the Beanstalk account.
- List Users
List all users in the Beanstalk account.
- Lead Updated
Fires when a lead (contact) in Datalyse is created or updated, newest updates first.
- New Lead
Trigger when a new lead is created
- Add Note to an Existing Lead
Add note to lead.
- Create New Lead
Create a new lead
- Delete Lead
Delete a lead_id
- Edit Lead
Edit lead details
- Get Lead
Returns one lead by id.
- Get Lead Activity
Returns the paginated activity/history feed (notes, deliveries, changes) of one lead.
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
Beanstalk and Datalyse, answered
What can start an automation from Beanstalk?
Any of Beanstalk's 2 triggers in the catalog, including New Repository and New User. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Datalyse when something happens in Beanstalk?
Any of Datalyse's 6 actions, including Create New Lead, Add Note to an Existing Lead, Edit Lead and Get Lead. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Datalyse to Beanstalk?
Yes. When something happens in Datalyse, your agent can act in Beanstalk too. This page covers both directions: Datalyse's triggers and Beanstalk's actions are listed here as well.
Do I have to build a connector for Beanstalk or Datalyse?
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 Beanstalk and Datalyse 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.