--- title: "Connect Firebase / Firestore to Azure AI Search Vector Store - APIANT.ai" description: "When \"New Document Within a Firestore Collection\" fires in Firebase / Firestore, your agent runs \"Get Document\" in Azure AI Search Vector Store." canonical: "https://apiant.ai/connect/firebase-firestore-to-azure-ai-search-vector-store" --- # Connect Firebase / Firestore to Azure AI Search Vector Store When **New Document Within a Firestore Collection** fires in [Firebase / Firestore](https://apiant.ai/connections/firebase-firestore), your agent runs **Get Document** in [Azure AI Search Vector Store](https://apiant.ai/connections/azure-ai-search-vector-store). Describe the whole flow and it is built, tested on every scenario and kept running. Firebase / Firestore **1** trigger Firebase / Firestore **6** actions Azure AI Search Vector Store **7** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Firebase / Firestore and Azure AI Search Vector Store to do together? Give your AI client this address. `https://mcp.apiant.ai` One 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.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) Example flows ## What Firebase / Firestore can start in Azure AI Search Vector Store - When **New Document Within a Firestore Collection** in Firebase / Firestore then **Get Document** in Azure AI Search Vector Store - When **New Document Within a Firestore Collection** in Firebase / Firestore 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 Firebase / Firestore and Azure AI Search Vector Store ## Triggers and actions 1 trigger · 13 actions - Trigger **New Document Within a Firestore Collection** Triggers when a new document is added to a Cloud Firestore collection. - Action **Create Cloud Firestore Document** Creates a new document within a Cloud Firestore collection. - Action **Delete Cloud Firestore Document** Deletes a Firestore document by its collection path and document ID. - Action **Find Cloud Firestore Document** Finds a document using a Structured Query within a collection. - Action **Get Cloud Firestore Document** Returns one Firestore document by its collection path and document ID. - Action **Run Cloud Firestore Query** Returns the Firestore documents in a collection that match a field filter. - Action **Update Cloud Firestore Document** Updates the given fields on an existing Firestore document. - Action **Create Index** Creates a search index with the fields you define, including vector fields for similarity search. - Action **Delete Index** Deletes a search index and every document in it. - Action **Get Document** Returns one document from a search index by its key. - Action **Get Index** Returns a search index's definition: its fields, vector search and semantic settings. - Action **List Indexes** Returns the search indexes in your Azure AI Search service. - Action **Search Documents** Searches a search index by keywords, filter and/or vector similarity and returns the matching documents with their scores. - Action **Upload Documents** Adds documents to a search index, replacing any existing document with the same key. ## Each app on its own - [ **Firebase / Firestore** Firebase Realtime Database and Google Cloud Firestore are flexible databases that give you the ability to...](https://apiant.ai/connections/firebase-firestore) - [ **Azure AI Search Vector Store** Vector database and search service for storing embeddings and powering retrieval-augmented generation apps.](https://apiant.ai/connections/azure-ai-search-vector-store) Reviews ## What our customers say ## More from Firebase / Firestore - [ **Firebase / Firestore to Google Cloud Text-to-Speech** Cloud API that converts written text into natural-sounding spoken audio in multiple languages and voices.](https://apiant.ai/connect/firebase-firestore-to-google-cloud-text-to-speech) - [ **Firebase / Firestore to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/firebase-firestore-to-hubspot) - [ **Firebase / Firestore to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/firebase-firestore-to-salesforce) - [ **Firebase / Firestore to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/firebase-firestore-to-slack) - [ **Firebase / Firestore to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/firebase-firestore-to-google-sheets) - [ **Firebase / Firestore to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/firebase-firestore-to-gmail) ## More into Azure AI Search Vector Store - [ **HubSpot to Azure AI Search Vector Store** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-azure-ai-search-vector-store) - [ **Salesforce to Azure AI Search Vector Store** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-azure-ai-search-vector-store) - [ **Slack to Azure AI Search Vector Store** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-azure-ai-search-vector-store) - [ **Google Sheets to Azure AI Search Vector Store** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-azure-ai-search-vector-store) - [ **Gmail to Azure AI Search Vector Store** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-azure-ai-search-vector-store) - [ **Google Calendar to Azure AI Search Vector Store** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-azure-ai-search-vector-store) Questions ## Firebase / Firestore and Azure AI Search Vector Store, answered ### ### What can start an automation from Firebase / Firestore? Any of Firebase / Firestore's 1 trigger in the catalog, including New Document Within a Firestore Collection. 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 Firebase / Firestore? 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 Firebase / Firestore? Azure AI Search Vector Store has no triggers in the catalog today, so automations start in Firebase / Firestore. 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 Firebase / Firestore 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 Firebase / Firestore 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.