Build solutions, not workarounds.
What do you want BigML and Tempo 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)Example flows
What BigML can start in Tempo
When New project in BigML
then Add project in Tempo
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 Tempo
Triggers and actions 1 trigger · 22 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.
- Add customer
Create a customer.
- Add plan
Create a plan (resource allocation).
- Add project
Create a project.
- Add team
Create a team.
- Add worklog
Create a worklog.
- Delete plan
Delete a plan.
- Delete worklog
Delete a worklog.
- Find worklogs by criteria
Search worklogs by issue, project, author, dates.
- Get account
Retrieve an account.
- Get plan
Retrieve a plan by id.
- Get project
Get a project.
- Get user schedule
Retrieve a user's schedule.
- List customers
List customers.
- List plans
List plans.
- List projects
List all projects (Tempo Financial Manager).
- List roles
List roles.
- List teams
List teams.
- Update plan
Update a plan.
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 Tempo, answered
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 Tempo when something happens in BigML?
Any of Tempo's 18 actions, including Update plan, Add customer, Add plan and Add project. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Tempo to BigML?
Tempo has no triggers in the catalog today, so automations start in BigML. If you need the other direction, ask: your agent reads Tempo's API documentation and adds it.
Do I have to build a connector for BigML or Tempo?
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.