Integration
Connect ScoreApp to Azure AI Search Vector Store
When Lead Signed Up fires in ScoreApp, your agent runs Upload Documents in Azure AI Search Vector Store. 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 ScoreApp and Azure AI Search Vector Store to do together?
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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)Example flows
What ScoreApp can start in Azure AI Search Vector Store
When Lead Signed Up in ScoreApp
then Upload Documents in Azure AI Search Vector Store
When Quiz Finished in ScoreApp
then Get Document in Azure AI Search Vector Store
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 ScoreApp and Azure AI Search Vector Store
Triggers and actions 3 triggers · 12 actions
Trigger
Lead Signed UpTriggers when a lead submits their name and email on a scorecard's lead form. In ScoreApp go to Integrate > Webhooks, paste this trigger's webhook URL and set Lead Signed Up to Send. Other events sent to the same URL are ignored. Lead fields arrive under data.
Trigger
Quiz FinishedTriggers when somebody answers the last question of a scorecard quiz, with their scores and answers. In ScoreApp go to Integrate > Webhooks, paste this trigger's webhook URL and set Quiz Finished to Send. Other events sent to the same URL are ignored. Lead fields arrive under data.
Trigger
Quiz StartedTriggers when somebody starts the first question of a scorecard quiz. In ScoreApp go to Integrate > Webhooks, paste this trigger's webhook URL and set Quiz Started to Send. Other events sent to the same URL are ignored. Lead fields arrive under data.
Action
Find LeadFinds a scorecard's leads by email address or name.
Action
Get LeadReturns one lead (quiz result) from a scorecard, with its scores, traffic source and activity.
Action
Get Lead AnswersReturns the answers a lead gave to each of a scorecard's questions, with the score for each answer.
Action
List LeadsReturns the leads (quiz results) captured by a scorecard, optionally filtered by status or date range.
Action
List ScorecardsReturns the scorecards in your ScoreApp account, optionally filtered by status or a search term.
Action
Create IndexCreates a search index with the fields you define, including vector fields for similarity search.
Action
Delete IndexDeletes a search index and every document in it.
Action
Get DocumentReturns one document from a search index by its key.
Action
Get IndexReturns a search index's definition: its fields, vector search and semantic settings.
Action
List IndexesReturns the search indexes in your Azure AI Search service.
Action
Search DocumentsSearches a search index by keywords, filter and/or vector similarity and returns the matching documents with their scores.
Action
Upload DocumentsAdds documents to a search index, replacing any existing document with the same key.
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
ScoreApp and Azure AI Search Vector Store, answered
What can start an automation from ScoreApp?
Any of ScoreApp's 3 triggers in the catalog, including Lead Signed Up, Quiz Finished and Quiz Started. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Azure AI Search Vector Store when something happens in ScoreApp?
Any of Azure AI Search Vector Store's 7 actions, including Create Index, Upload Documents, Get Document and Get Index. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Azure AI Search Vector Store to ScoreApp?
Azure AI Search Vector Store has no triggers in the catalog today, so automations start in ScoreApp. If you need the other direction, ask: your agent reads Azure AI Search Vector Store's API documentation and adds it.
Do I have to build a connector for ScoreApp or Azure AI Search Vector Store?
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 ScoreApp and Azure AI Search Vector Store 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.