Integration
Connect Beanstalk to Anthropic
When New Repository fires in Beanstalk, your agent runs Anthropic agent message in Anthropic. 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 Anthropic 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)Beanstalk holds your repositories and the people who can reach them; Anthropic holds Claude, which can write the text around that work. Joining them means a new repository or a new user in Beanstalk can lead straight to drafted README notes, onboarding wording or a batch of queued writing requests, using the repository and user details Beanstalk already has.
Example flows
What Beanstalk can start in Anthropic
When New Repository in Beanstalk
then Anthropic agent message in Anthropic
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 Anthropic
Triggers and actions 2 triggers · 16 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.
- Anthropic agent message
Runs one AI agent turn on Anthropic and returns the model's reply. The turn is billed to the Anthropic account connected on this step, and the agent can call the account's AI tool automations.
- Cancel message batch
Cancel a Message Batch that is still processing.
- Count tokens in a message
Count the number of input tokens a Messages API request would use, without creating the message.
- Create message batch
Submit a batch of Messages API requests for asynchronous processing.
- Get message batch
Retrieve the status and request counts of a Message Batch by id.
- Get model
Retrieve details for a specific Claude model by id.
- List message batches
List Message Batches in the workspace, most recently created first.
- List models
List the available Claude models, most recently released first.
- Send model a message
Send a message to a Claude model and return its response. Supports the full Messages API: model, system prompt, multi-turn messages, max_tokens, tools, and adaptive thinking.
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 Anthropic, answered
Can the agent react to something happening in Anthropic?
No, Anthropic has no triggers, so every scenario starts in Beanstalk with a new repository or a new user. Anthropic is always on the action side, sending a message to Claude, counting tokens, or creating and checking a message batch.
Can Claude's reply be written back into Beanstalk?
Beanstalk's actions cover repositories, users and SSH public keys, so a reply can feed a step like creating a repository or adding a public key, but there is no action for posting text into a changeset or comment. Most teams send the drafted text onward from the run itself.
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 Anthropic when something happens in Beanstalk?
Any of Anthropic's 9 actions, including Anthropic agent message, Count tokens in a message, Create message batch and Send model a message. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Anthropic to Beanstalk?
Anthropic has no triggers in the catalog today, so automations start in Beanstalk. If you need the other direction, ask: your agent reads Anthropic's API documentation and adds it.
Do I have to build a connector for Beanstalk or Anthropic?
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 Anthropic 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.