--- title: "Connect Cloudinary to Qdrant Vector Store - APIANT.ai" description: "When \"New Tagged Resource\" fires in Cloudinary, your agent runs \"Add collection\" in Qdrant Vector Store." canonical: "https://apiant.ai/connect/cloudinary-to-qdrant-vector-store" --- # Connect Cloudinary to Qdrant Vector Store When **New Tagged Resource** fires in [Cloudinary](https://apiant.ai/connections/cloudinary), your agent runs **Add collection** in [Qdrant Vector Store](https://apiant.ai/connections/qdrant-vector-store). Describe the whole flow and it is built, tested on every scenario and kept running. Cloudinary **2** triggers Cloudinary **4** actions Qdrant Vector Store **15** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Cloudinary and Qdrant 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 Cloudinary can start in Qdrant Vector Store - When **New Tagged Resource** in Cloudinary then **Add collection** in Qdrant Vector Store - When **New Uploaded Resource** in Cloudinary then **Add payload index** in Qdrant 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 Cloudinary and Qdrant Vector Store ## Triggers and actions 2 triggers · 19 actions - Trigger **New Tagged Resource** Triggers when a new resource is uploaded and is tagged with a given tag. - Trigger **New Uploaded Resource** Triggers when a new resource is uploaded. - Action **Get Usage Report** Creates a report on the status of your Cloudinary account usage details, including storage, bandwidth, requests, number of resources, and add-on usage. - Action **Transform Resource** Creates a Cloudinary URL that can be used to transform, manipulate, and share the resource. - Action **Upload Resource** Uploads a new resource to your Cloudinary account. - Action **Upload Resource (Advanced)** Uploads a new resource to your Cloudinary account. This advanced action includes additional upload parameters. - Action **Add collection** Creates a new Qdrant collection with the vector size, distance metric and storage settings you choose. - Action **Add payload index** Creates a payload index on a field of a Qdrant collection so filters and searches on that field run faster. - Action **Add points** Adds points (vectors with optional payloads) to a Qdrant collection, overwriting any existing points that have the same ids. - Action **Add snapshot** Creates a new snapshot of a Qdrant collection and returns the snapshot's name, size, checksum and creation time. - Action **Count points** Returns how many points in a Qdrant collection match an optional filter, or the total number of points when no filter is given. - Action **Delete collection** Deletes a collection and all of the points and data stored in it. - Action **Delete points** Deletes points from a Qdrant collection, either by a list of point ids or by every point matching a filter. - Action **Find points by vector** Returns the points in a collection whose vectors are nearest to the vector you supply, ranked by similarity score, with their payloads. - Action **Get collection** Returns the details of a collection: its status, point and segment counts, vector and index configuration, and payload schema. - Action **Get point** Returns a single point from a Qdrant collection by its id, including its payload and vector. - Action **List collections** Returns the names of every collection in your Qdrant instance. - Action **List points** Returns the points stored in a Qdrant collection, optionally narrowed by a filter and ordered by a payload field, fetching every page. - Action **List snapshots** Returns every snapshot taken of a collection, with each snapshot's name, size, checksum and creation time. - Action **Update collection** Updates the settings of an existing Qdrant collection, such as its vector, index, optimizer, quantization, strict-mode or metadata parameters. - Action **Update point payload** Sets payload values on the chosen points in a Qdrant collection, merging them into each point's existing payload. Pick the points by id or by a filter. ## Each app on its own - [ **Cloudinary** Cloudinary makes it easy to upload, store, manage, manipulate and deliver images and videos efficiently and...](https://apiant.ai/connections/cloudinary) - [ **Qdrant Vector Store** Vector database for storing embeddings and running similarity search with metadata filtering, via REST or...](https://apiant.ai/connections/qdrant-vector-store) Reviews ## What our customers say ## More from Cloudinary - [ **Cloudinary to Render** Cloud platform for deploying and scaling web services, static sites, background workers, and databases.](https://apiant.ai/connect/cloudinary-to-render) - [ **Cloudinary to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/cloudinary-to-hubspot) - [ **Cloudinary to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/cloudinary-to-salesforce) - [ **Cloudinary to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/cloudinary-to-slack) - [ **Cloudinary to Google Sheets** Google Sheets](https://apiant.ai/connect/cloudinary-to-google-sheets) - [ **Cloudinary to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/cloudinary-to-gmail) ## More into Qdrant Vector Store - [ **HubSpot to Qdrant Vector Store** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-qdrant-vector-store) - [ **Salesforce to Qdrant Vector Store** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-qdrant-vector-store) - [ **Slack to Qdrant Vector Store** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-qdrant-vector-store) - [ **Google Sheets to Qdrant Vector Store** Google Sheets](https://apiant.ai/connect/google-sheets-to-qdrant-vector-store) - [ **Gmail to Qdrant Vector Store** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-qdrant-vector-store) - [ **Google Calendar to Qdrant Vector Store** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-qdrant-vector-store) Questions ## Cloudinary and Qdrant Vector Store, answered ### ### What can start an automation from Cloudinary? Any of Cloudinary's 2 triggers in the catalog, including New Tagged Resource and New Uploaded Resource. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Qdrant Vector Store when something happens in Cloudinary? Any of Qdrant Vector Store's 15 actions, including Update collection, Update point payload, Add collection and Add payload index. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Qdrant Vector Store to Cloudinary? Qdrant Vector Store has no triggers in the catalog today, so automations start in Cloudinary. If you need the other direction, ask: your agent reads Qdrant Vector Store's API documentation and adds it. ### ### Do I have to build a connector for Cloudinary or Qdrant 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 Cloudinary and Qdrant 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.