Build solutions, not workarounds.
What do you want BigML and RacingHub to do together?
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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 RacingHub
When New project in BigML
then Get constructor in RacingHub
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 RacingHub
Triggers and actions 1 trigger · 20 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.
- Get constructor
Get a Formula 1 constructor's details by constructor ID.
- Get constructor standings
Get the constructors' championship standings for a season.
- Get driver
Get a Formula 1 driver's details by driver ID.
- Get driver standings
Get the drivers' championship standings for a season.
- Get race
Get details of a specific race by race ID.
- Get season
Get details of a Formula 1 season by year.
- List constructors
List all Formula 1 constructors (teams) on record.
- List constructor season history
List the seasons a constructor competed in.
- List driver race results
List a driver's race results across their career.
- List drivers
List all Formula 1 drivers in the RacingHub database.
- List driver season history
List the seasons a driver competed in.
- List races
List Formula 1 races.
- List season constructors
List the constructors that competed in a given season.
- List season drivers
List the drivers who competed in a given season.
- List season races
List the races held in a given season.
- List seasons
List all Formula 1 seasons on record.
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
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Questions
BigML and RacingHub, 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 RacingHub when something happens in BigML?
Any of RacingHub's 16 actions, including Get constructor, Get constructor standings, Get driver and Get driver standings. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from RacingHub to BigML?
RacingHub has no triggers in the catalog today, so automations start in BigML. If you need the other direction, ask: your agent reads RacingHub's API documentation and adds it.
Do I have to build a connector for BigML or RacingHub?
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.