Integration
Connect CallFire to Azure AI Search Vector Store
When New call fires in CallFire, 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 CallFire and Azure AI Search Vector Store 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 CallFire can start in Azure AI Search Vector Store
When New call in CallFire
then Upload Documents 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 CallFire and Azure AI Search Vector Store
Triggers and actions 4 triggers · 31 actions
- New call
Polls for completed calls. Fires for each new inbound or outbound call.
- New contact
Polls for newly created contacts in the account.
- New SMS text received
Polls for inbound SMS text messages. Fires for each newly received text.
- New text sent
Polls for outbound SMS text messages. Fires for each newly sent text.
- Add auto reply
Creates an SMS auto reply message for one of your CallFire numbers or keywords, optionally only for texts matching given text.
- Add call broadcast
Creates a CallFire voice (call) broadcast campaign with its sounds, recipients, schedule and retry settings, optionally starting it immediately.
- Add contact to list
Adds a contact (by contact ID) to a specified contact list.
- Add do not contact numbers
Adds phone numbers to your CallFire Do Not Contact list, blocking outbound calls and/or texts (and optionally inbound) to them. Existing entries are updated.
- Add new contact
Creates a new contact in CallFire and returns its ID.
- Add text broadcast
Creates a text broadcast campaign in CallFire, optionally with recipients, a schedule, and starting it immediately.
- Create contact list
Creates a new contact list with the given name and optional contact numbers.
- Delete contact
Deletes a contact by its CallFire contact ID.
- Delete do not contact number
Removes a phone number (or a comma-separated list of numbers) from your CallFire Do Not Contact list.
- Find calls
Searches the calls sent or received by your CallFire account, filtered by number, broadcast, label, state, result, direction or time window.
- Find texts
Finds text messages sent or received in your CallFire account, filtered by number, campaign, label, status, result, direction or time range.
- Get call
Returns a single call by its id, including its numbers, state, result, contact and call records.
- Get contact by ID
Retrieves a single contact by its CallFire contact ID.
- Get contact by property
Get contact details by property name and value.
- Get text message
Retrieves a single sent or received text message by its ID.
- List contact lists
Returns all contact lists in the account.
- Remove contact from list
Removes a contact (by contact ID) from a specified contact list.
- Send SMS text message
Sends an SMS text message to one phone number and returns the new text's ID and state.
- Send voice call
Places a text-to-speech voice call to one phone number and returns the new call's ID and state.
- Start call broadcast
Starts a CallFire voice (call) broadcast so it begins dialing its recipients.
- Start text broadcast
Starts sending a text broadcast that has already been created in CallFire.
- Stop call broadcast
Stops a running CallFire voice (call) broadcast so no further calls are dialed.
- Stop text broadcast
Stops a running text broadcast so no further messages are sent.
- Update contact
Updates an existing contact by its CallFire contact ID.
- Create Index
Creates a search index with the fields you define, including vector fields for similarity search.
- Delete Index
Deletes a search index and every document in it.
- Get Document
Returns one document from a search index by its key.
- Get Index
Returns a search index's definition: its fields, vector search and semantic settings.
- List Indexes
Returns the search indexes in your Azure AI Search service.
- Search Documents
Searches a search index by keywords, filter and/or vector similarity and returns the matching documents with their scores.
- Upload Documents
Adds 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
Reviews
What our customers say
More from CallFire
CallFire to HubSpotHubSpot is your all-in-one stop for all of your marketing software needs.
CallFire to SalesforceSalesforce is a leading enterprise customer relationship management (CRM) platform.
CallFire to SlackSlack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...
CallFire to Google SheetsGoogle Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.
CallFire to GmailGmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...
CallFire to Google CalendarGoogle Calendar is a time management tool providing scheduling features, event reminders, and integration...
More into Azure AI Search Vector Store
Questions
CallFire and Azure AI Search Vector Store, answered
What can start an automation from CallFire?
Any of CallFire's 4 triggers in the catalog, including New call, New contact, New SMS text received and New text sent. 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 CallFire?
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 CallFire?
Azure AI Search Vector Store has no triggers in the catalog today, so automations start in CallFire. 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 CallFire 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 CallFire 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.