Integration
Connect BigML and Help Scout
When something happens in BigML or Help Scout, your agent does the next thing in the other. 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 BigML and Help Scout 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)BigML holds the projects, datasets and models your data team works on, while Help Scout holds the conversations your support team answers. Joining them lets a new BigML project reach the right Help Scout inbox, and lets an incoming Help Scout conversation pull model or dataset details from BigML before anyone replies.
Example flows
What BigML and Help Scout can do together
From BigML to Help Scout
When New project in BigML
then Create Note in Help Scout
From Help Scout to BigML
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 BigML and Help Scout
Triggers and actions 5 triggers · 23 actions
- New project
Triggered when a new project is created in BigML. Polls the BigML projects list endpoint and emits each project, deduplicated by its resource id.
- Get Resource Status
Retrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results.
- List Datasets
List BigML datasets, optionally filtered/paginated.
- List Models
List BigML models, optionally filtered/paginated.
- List Sources
List BigML sources, optionally filtered/paginated.
- New Conversation
Polls for newly created conversations across mailboxes.
- New Customer
Polls for newly created customers.
- New Mailbox
Polls for newly created mailboxes.
- New User
Polls for newly added users (team members).
- Add Customer Email
Add an email address to a customer.
- Create Customer
Create a new customer record.
- Create Note
Add an internal note thread to a conversation.
- Create Thread (Reply)
Add a reply thread to an existing conversation.
- Delete Conversation
Delete a conversation by ID.
- Get Conversation
Retrieve a single conversation by ID.
- Get Customer
Retrieve a single customer by ID.
- Get Mailbox
Retrieve a single mailbox by ID.
- Get User
Retrieve a single user by ID.
- List Conversations
List conversations, optionally filtered by mailbox, status, tag, or query.
- List Conversation Threads
List all threads on a conversation.
- List Customers
List customers, optionally filtered by email, mailbox, or query.
- List Mailboxes
List all mailboxes in the account.
- List Mailbox Folders
List the folders within a mailbox.
- List Tags
List all tags in the account.
- List Users
List all users (team members) in the account.
- Update Conversation
Update a conversation's subject, status, mailbox, assignee, or owner via JSON Patch.
- Update Conversation Tags
Replace the tags on a conversation.
- Update Customer
Update a customer's profile fields.
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
BigML and Help Scout, answered
Can a Help Scout conversation show whether a BigML model is ready?
Yes. On a new Help Scout conversation the agent can list your BigML models and read a resource status by id, then write what it found into an internal note on that conversation.
BigML only offers a new project trigger. Is that enough to work with?
It is. A new BigML project can drive Help Scout actions such as adding an internal note to a linked conversation or listing users and mailboxes, and every Help Scout trigger can read back from BigML.
What can start an automation from BigML?
Any of BigML's 1 trigger in the catalog, including New project. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Help Scout when something happens in BigML?
Any of Help Scout's 19 actions, including Create Note, List Users, Create Customer and Create Thread (Reply). Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Help Scout to BigML?
Yes. When something happens in Help Scout, your agent can act in BigML too. This page covers both directions: Help Scout's triggers and BigML's actions are listed here as well.
Do I have to build a connector for BigML or Help Scout?
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.