Integration
Connect BigML and MySQL
When New project fires in BigML, your agent runs Add Row in MySQL, or New or Updated Row in MySQL to Get Resource Status in BigML. 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 MySQL 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)MySQL holds the rows your team works from, and BigML holds the sources, datasets, models and predictions built on top of them. Connecting the two lets a new or changed row in MySQL pull model or resource details from BigML, and lets a new BigML project write or look up rows in your MySQL tables. Describe what you want and the agent builds it and tests each scenario.
Example flows
What BigML and MySQL can do together
From BigML to MySQL
When New project in BigML
then Add Row in MySQL
When New project in BigML
then Find Row in MySQL
From MySQL to BigML
When New or Updated Row in MySQL
then Get Resource Status in BigML
When New Row in MySQL
then List Models in 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 MySQL
Triggers and actions 5 triggers · 10 actions
Trigger
New projectTriggered when a new project is created in BigML. Polls the BigML projects list endpoint and emits each project, deduplicated by its resource id.
Action
Get Resource StatusRetrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results.
Action
List DatasetsList BigML datasets, optionally filtered/paginated.
Action
List ModelsList BigML models, optionally filtered/paginated.
Action
List SourcesList BigML sources, optionally filtered/paginated.
Trigger
New or Updated RowTriggers when a new row is added or modified.
Trigger
New or Updated Row (Custom Query)Fires for each new or changed row returned by a SELECT statement you write against the connected MySQL database.
Trigger
New RowTriggers when you add a new row.
Trigger
New TableFires when a new table appears in the connected MySQL database.
Action
Add RowAdds a new row.
Action
Delete RowDelete the rows in a table whose chosen column equals a value.
Action
Find RowFinds a row in a table via a lookup column.
Action
Find Rows via Custom QueryRun an author-written SELECT against the connected MySQL database and return every row it produced. Mirrors PostgreSQL 715ae2ac, SQL Server 8e0bbb5d and Oracle 2c308e4d; MySQL placeholder style is ?.
Action
Find Row via Custom QueryRuns a SELECT statement you write against the connected MySQL database and returns the first row it matches.
Action
Update RowUpdates an existing row.
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 MySQL, answered
Can a row in MySQL wait for a BigML job to finish?
The BigML side offers Get Resource Status, so a run can read a source, dataset, model or prediction by id and check where it stands. You can then have the agent update the MySQL row only when the status comes back finished.
What can start a run on the BigML side?
BigML offers one trigger, New project, which fires when a project is created there. From that trigger you can add a row, find a row, update a row or delete rows in MySQL, including a lookup by project name before anything is written.
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 MySQL when something happens in BigML?
Any of MySQL's 6 actions, including Add Row, Find Row, Update Row and Find Rows via Custom Query. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from MySQL to BigML?
Yes. When something happens in MySQL, your agent can act in BigML too. This page covers both directions: MySQL's triggers and BigML's actions are listed here as well.
Do I have to build a connector for BigML or MySQL?
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 MySQL 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.