App

Qdrant integrations

Connect Qdrant to any other app, or use it from your AI client over MCP. Vector database and search engine for similarity search, RAG, recommendations, and AI agent retrieval at scale.

Connects with an API keyqdrant.tech

15 actions

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?

Ask the assistant

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

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

Cursor

Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.

Setup guide

Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

Setup guide

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

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

Popular

Qdrant with the apps people pair it with most

Pair it

Connect Qdrant with another app

What your agent can do with Qdrant

Triggers and actions 15 actions

Action
Add collection
Creates a new Qdrant collection with the given name and vector configuration.
Action
Add payload index
Creates a payload index on a field of a Qdrant collection so that filters on that field run fast.
Action
Add points
Adds points (vectors with optional payloads) to a Qdrant collection, overwriting any existing point with the same id.
Action
Add snapshot
Creates a new snapshot of a Qdrant collection and returns the snapshot's name, size and checksum.
Action
Count points
Returns the number of points in a Qdrant collection, optionally only those matching a payload filter.
Action
Delete collection
Deletes a Qdrant 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 closest to the vector you supply, ranked by similarity score, with their payloads.
Action
Get collection
Returns the details of a Qdrant collection: its status, point and vector counts, segment count, configuration and payload index schema.
Action
Get point
Returns a single point from a Qdrant collection, including its payload and vector.
Action
List collections
Returns the names of all collections in your Qdrant cluster.
Action
List points
Returns the points stored in a Qdrant collection, optionally narrowed by a payload filter and ordered by a payload field.
Action
List snapshots
Returns every snapshot stored for a Qdrant collection, with each snapshot's file name, creation time, size and checksum.
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 points in a Qdrant collection, chosen by point ids or a filter. Keys you supply are added or overwritten; other existing payload keys are kept.

Reviews

What our customers say

Questions

Qdrant, answered

Is there a Qdrant MCP server?

APIANT's MCP server at https://mcp.apiant.ai works with Qdrant. 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 actions on demand, or have APIANT build, test and run automations that use Qdrant. Nothing to install.

What can your agent do in Qdrant?

Any of Qdrant'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 directly from Claude, ChatGPT or Cursor?

Yes. Connect your AI client to APIANT once and it works with Qdrant two ways. Ask it to do something in Qdrant 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 API?

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

Which apps can Qdrant connect to?

Any app in the catalog; the list on this page pairs Qdrant 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.