Integration
Connect BigML to Anthropic
When New project fires in BigML, your agent runs Count tokens in a 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 BigML 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)BigML holds the projects, sources, datasets and models your team trains, while Anthropic runs Claude for writing and review. Joining them means a new BigML project can pull its own resource lists and hand them to Claude for a readable summary, a token count, or a batch of review prompts. The agent builds it, tests every scenario and keeps it running.
Example flows
What BigML can start in Anthropic
When New project in BigML
then Count tokens in a 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 BigML and Anthropic
Triggers and actions 1 trigger · 13 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.
- 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
BigML and Anthropic, answered
What can start a run between BigML and Anthropic?
The listed trigger is a new project created in BigML, so every run begins there. From that point the agent can list sources, datasets or models in BigML and read a resource status before anything is sent to Anthropic.
Can Claude see what is actually in the BigML project?
Yes, within what the listed actions return: List Sources, List Datasets, List Models and Get Resource Status in BigML. Those results can be passed into Send model a message, Count tokens in a message or Create message batch on Anthropic.
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 Anthropic when something happens in BigML?
Any of Anthropic's 9 actions, including Count tokens in a message, Create message batch, Get model and List models. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Anthropic to BigML?
Anthropic has no triggers in the catalog today, so automations start in BigML. 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 BigML 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 BigML 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.