Integration
Connect OpenAI to MLB Records and Stats
When New batch fires in OpenAI, your agent runs Find schedule in MLB Records and Stats. 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 OpenAI and MLB Records and Stats 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)OpenAI and MLB Records and Stats work together when you want baseball data turned into readable text. A run starts from something happening in your OpenAI account, such as a new file, model, batch, vector store or video, and from there the agent can pull rosters, standings, schedules, transactions or stat leaders from MLB Records and Stats and hand them back to a model for writing.
Example flows
What OpenAI can start in MLB Records and Stats
When New batch in OpenAI
then Find schedule in MLB Records and Stats
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 OpenAI and MLB Records and Stats
Triggers and actions 5 triggers · 88 actions
- New batch
List your organization's batches.
- New file
Returns a list of files.
- New model
Lists the currently available models.
- New vector store
Returns a list of vector stores.
- New video
List recently generated videos for the current project.
- Cancel batch
Cancels an in-progress batch.
- Cancel run
Cancels a run that is in_progress.
- Cancel vector store file batch
Cancel a vector store file batch.
- Content moderation
Classifies text for hate, harassment, self-harm, sexual, and violence categories using the Moderations API.
- Count input tokens
Returns input token counts of the request.
- Create assistant
Create an assistant with a model and instructions.
- Create chat completion
Sends a list of chat messages to a model via the Chat Completions API and returns the assistant's reply.
- Create completion
Creates a completion for the provided prompt and parameters.
- Create embedding
Generates a vector embedding for input text using an embeddings model (e.g. text-embedding-3-small).
- Create message
Create a message.
- Create run
Create a run.
- Creates and executes a batch from an uploaded file of requests
Creates and executes a batch from an uploaded file of requests
- Create thread
Create a thread.
- Create thread and run
Create a thread and run it in one request.
- Create vector store
Create a vector store.
- Create vector store file
Create a vector store file by attaching a File to a vector store.
- Create vector store file batch
Create a vector store file batch.
- Create video edit job
Create a new video generation job by editing a source or existing generated video.
- Create video extension
Create an extension of a completed video.
- Create video generation job
Create a new video generation job from a prompt and optional reference assets.
- Create video remix
Create a remix of a completed video using a refreshed prompt.
- Delete assistant
Delete an assistant.
- Delete eval run
Delete an eval run.
- Delete file
Delete a file and remove it from all vector stores.
- Delete message
Deletes a message.
- Delete thread
Delete a thread.
- Delete vector store
Delete a vector store.
- Delete vector store file
Delete a vector store file (removes from store, file itself not deleted).
- Delete video
Permanently delete a completed or failed video and its stored assets.
- Download video content
Download the generated video bytes or a derived preview asset.
- Edit image
Creates an edited or extended image given one or more source images and a prompt.
- Generate image
Generates an image from a text prompt using gpt-image-1 / DALL-E and returns the image URL or base64 data.
- Generate speech
Converts text into spoken audio using a TTS model and the selected voice. Returns audio bytes.
- Get assistant
Retrieves an assistant.
- Get batch
Retrieves a batch.
- Get file
Returns information about a specific file.
- Get file content
Returns the contents of the specified file.
- Get message
Retrieve a message.
- Get model
Retrieves a model instance.
- Get run
Retrieves a run.
- Get run step
Retrieves a run step.
- Get thread
Retrieves a thread.
- Get vector store
Retrieves a vector store.
- Get vector store file
Retrieves a vector store file.
- Get vector store file batch
Retrieves a vector store file batch.
- Get vector store file content
Retrieve the parsed contents of a vector store file.
- Get video
Fetch the latest metadata for a generated video.
- List conversation items
List all items for a conversation with the given ID.
- List files
Lists files that have been uploaded to your OpenAI account.
- List messages
Returns a list of messages for a given thread.
- List models
Lists the models currently available to your account.
- List runs
Returns a list of runs belonging to a thread.
- List run steps
Returns a list of run steps belonging to a run.
- List vector store file batch files
Returns a list of vector store files in a batch.
- List vector store files
Returns a list of vector store files.
- OpenAI agent message
Runs one AI agent turn on OpenAI and returns the model's reply. The turn is billed to the OpenAI account connected on this step, and the agent can call the account's AI tool automations.
- Retrieve response
Retrieves a previously created model response by its Response ID.
- Search vector store
Search a vector store for relevant chunks based on a query and filter.
- Send model a message
Sends a message to an OpenAI model via the Responses API and emits its response. Returns a Response ID usable as previous_response_id for multi-turn conversations.
- Submit tool outputs to run
Submit tool outputs when a run requires action.
- Transcribe audio
Transcribes audio into the input language.
- Translate audio
Translates audio into English.
- Update assistant
Modifies an assistant.
- Update message
Modifies a message.
- Update run
Modifies a run.
- Update thread
Modifies a thread.
- Update vector store
Modifies a vector store.
- Update vector store file attributes
Update attributes on a vector store file.
- Upload file
Upload a file that can be used across various endpoints.
- Find schedule
Query the game schedule by sportId, teamId, date range, or gamePk(s).
- Find stats
Query player/team stats by stat type, group, season, and sortStat.
- Find transactions
Query player transactions (trades, signings, DFA, etc.) by teamId, playerId, or date range.
- Get attendance
Get attendance figures by teamId, leagueId, or season/date.
- Get draft
Get MLB amateur draft picks by year, optionally filtered to prospects or the latest pick.
- Get game boxscore
Get a game's full boxscore by gamePk.
- Get game linescore
Get a game's linescore (inning-by-inning) by gamePk.
- Get game live feed
Get a game's full live feed (plays, boxscore, linescore combined) by gamePk.
- Get game play by play
Get all plays for a game by gamePk.
- Get person
Get a single player/person's bio info by personId.
- Get person stats
Get a player's stats for a specific game by personId and gamePk (or "current").
- Get standings
Get division/league standings by leagueId and season.
- Get stats leaders
Get statistical leaders by leaderCategories, season, and league/sport.
- Get team
Get a single MLB team's info by teamId.
- Get team roster
Get a team's player roster by teamId.
- Get team stats
Get a team's season stats by teamId, season, and stat group.
- Get venue
Get venue info by venueIds.
- List divisions
List MLB divisions, optionally filtered by leagueId/sportId/season.
- List leagues
List MLB leagues by sportId/leagueIds/seasons.
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
More from OpenAI
OpenAI to HubSpotHubSpot is your all-in-one stop for all of your marketing software needs.
OpenAI to SalesforceSalesforce is a leading enterprise customer relationship management (CRM) platform.
OpenAI to SlackSlack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...
OpenAI to StripeStripe is a payment processing platform for online businesses.
OpenAI to QuickBooks OnlineQuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...
OpenAI to PipedrivePipedrive is a sales CRM and pipeline management tool.
More into MLB Records and Stats
Google Sheets to MLB Records and StatsGoogle Sheets
Glimpse to MLB Records and StatsGlimpse is a competitive intelligence platform that monitors competitors across pricing changes, job...
Gmail to MLB Records and StatsGmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...
Questions
OpenAI and MLB Records and Stats, answered
Can a run start from a game or a trade in MLB Records and Stats?
No, MLB Records and Stats offers actions only, so every run begins with an OpenAI event such as a new file, new model, new batch, new vector store or new video. The MLB steps, like Get standings or Get team roster, run as actions once the trigger fires.
Can OpenAI write up the numbers that come back from MLB Records and Stats?
Yes, results from actions such as Get team stats, Get stats leaders or Get standings can be passed into Create chat completion or Send model a message. The agent tests each scenario with real responses so the wording holds up when fields are missing.
What can start an automation from OpenAI?
Any of OpenAI's 5 triggers in the catalog, including New batch, New file, New model and New vector store. Describe the moment in plain language and your agent picks the right one.
What can your agent do in MLB Records and Stats when something happens in OpenAI?
Any of MLB Records and Stats's 19 actions, including Find schedule, Find transactions, Get standings and Get stats leaders. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from MLB Records and Stats to OpenAI?
MLB Records and Stats has no triggers in the catalog today, so automations start in OpenAI. If you need the other direction, ask: your agent reads MLB Records and Stats's API documentation and adds it.
Do I have to build a connector for OpenAI or MLB Records and Stats?
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 OpenAI and MLB Records and Stats 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.