Integration
Connect Vimeo OTT to College Football Data
When something happens in Vimeo OTT, your agent does the next thing in College Football Data. Describe it 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 Vimeo OTT and College Football Data 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 Vimeo OTT can start in College Football Data
When New customer in Vimeo OTT
then Find players by name in College Football Data
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 Vimeo OTT and College Football Data
Triggers and actions 2 triggers · 32 actions
- New customer
Polls for newly created customers (sorted newest first).
- New video
Polls for newly created videos (sorted newest first).
- Create collection
Creates a new collection (category, series, season, playlist, etc.).
- Create product
Creates a new product.
- Create video
Creates a new video.
- Delete video
Deletes a video.
- Get analytics report
Retrieves an analytics report (traffic, income, units, subscribers, churn, or video).
- Get collection
Retrieves a specific collection by ID.
- Get product
Retrieves a specific product by ID.
- Get video
Retrieves a specific video by ID.
- List collections
Lists all collections.
- List customers
Lists customers. Supports pagination and email/product filters.
- List product prices
Lists a product's prices in all currencies.
- List products
Lists all products.
- List video files
Lists the encoded files for a video.
- List videos
Lists all videos. Supports product/collection/query filters and pagination.
- Find players by name
/player/search (searchTerm required; year, team, position).
- List betting lines
/lines (gameId or year/week/team filters). Spreads, over/under per provider.
- List calendar weeks
/calendar (year required). Season weeks and dates.
- List coaches
/coaches (firstName, lastName, team, year filters).
- List conferences
/conferences. Returns conferences.
- List drives
/drives (year required; seasonType, week, team, conference).
- List FBS teams
/teams/fbs (optional year). Returns FBS teams.
- List games
/games (year required; week, seasonType, team, conference filters). Returns game objects.
- List player game stats
/games/players (year plus week/team/category). Player box score stats per game.
- List plays
/plays (year, week required; team, offense, defense, playType filters).
- List rankings
/rankings (year required; week, seasonType). Poll rankings (AP, Coaches, CFP).
- List recruits
/recruiting/players (year, classification, position, state, team).
- List team game stats
/games/teams (year plus week/team/conference). Team box score stats per game.
- List team records
/records (year, team, conference). Win-loss records.
- List team rosters
/roster (team, year filters). Returns players on roster.
- List teams
/teams (optional conference, year). Returns teams.
- List team season stats
/stats/season (year required; team, conference, startWeek, endWeek).
- List venues
/venues. Returns stadiums.
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
Vimeo OTT and College Football Data, answered
What can start an automation from Vimeo OTT?
Any of Vimeo OTT's 2 triggers in the catalog, including New customer and New video. Describe the moment in plain language and your agent picks the right one.
What can your agent do in College Football Data when something happens in Vimeo OTT?
Any of College Football Data's 18 actions, including Find players by name, List betting lines, List calendar weeks and List coaches. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from College Football Data to Vimeo OTT?
College Football Data has no triggers in the catalog today, so automations start in Vimeo OTT. If you need the other direction, ask: your agent reads College Football Data's API documentation and adds it.
Do I have to build a connector for Vimeo OTT or College Football Data?
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.