App

Qdrant Vector Store integrations

Connect Qdrant Vector Store to any other app, or use it from your AI client over MCP. Vector database for storing embeddings and running similarity search with metadata filtering, via REST or gRPC API.

Connects with an API keyqdrant.tech

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 to automate with Qdrant Vector Store?

Ask the assistant

You'll sign in before anything runs. What you typed comes with you.

Connect your AI client

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)
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)

Pair it

Connect Qdrant Vector Store with another app

What your agent can do with Qdrant Vector Store

Triggers and actions 15 actions

  • 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.

Reviews

What our customers say

Questions

Qdrant Vector Store, answered

Is there a Qdrant Vector Store MCP server?

APIANT's MCP server at https://mcp.apiant.ai works with Qdrant Vector Store. Add that address to any AI client that takes a remote MCP server and sign in once in your browser. Your client can then run Qdrant Vector Store actions on demand, or have APIANT build, test and run automations that use Qdrant Vector Store. Nothing to install.

What can your agent do in Qdrant Vector Store?

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 I use Qdrant Vector Store directly from Claude, ChatGPT or Cursor?

Yes. Connect your AI client to APIANT once and it works with Qdrant Vector Store two ways. Ask it to do something in Qdrant Vector Store 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 on its own. A one-off action uses your plan's tasks the same way an automation step does.

Do I need to write code against the Qdrant Vector Store API?

No. APIANT connects to the Qdrant Vector Store API for you, with your Qdrant Vector Store API key. Describe what you want in plain language and your agent builds it on the Qdrant Vector Store triggers and actions in the catalog. If you need an endpoint that is not there yet, your agent reads the Qdrant Vector Store API documentation and adds it.

Which apps can Qdrant Vector Store connect to?

Any app in the catalog; the list on this page pairs Qdrant Vector Store with each of them. If the other app is missing, point your agent at its API documentation and it builds the connector.

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.