Integration
Connect Notion to Qdrant Vector Store
When New Comment fires in Notion, your agent runs Add collection in Qdrant 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 Notion and Qdrant 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)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 Notion can start in Qdrant Vector Store
When New Comment in Notion
then Add collection 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 Notion and Qdrant Vector Store
Triggers and actions 5 triggers · 38 actions
- New Comment
Triggers when a new comment is created in your Notion workspace. You can filter by database or specific page.
- New Data Source Item
Triggers when a new item is created in a data source.
- Updated Content in Data Source Item
Triggers when the content in a data source item is updated.
- Updated Content in Page
Triggers when the content in a page is updated.
- Updated Properties in Data Source Item
Triggers when one or more properties of a data source item are updated.
- Add Block to Page
Adds a new content block to an existing Notion page. Supports various block types including paragraphs, headings, lists, to-dos, callouts, code blocks, and more.
- Add Comment
Adds a new comment to a Page.
- Add Content to Page
Adds Content to a Page.
- Archive Data Source Item
Soft deletes an item in a data source.
- Create Data Source Item
Creates an item in a data source.
- Create Page
Creates a Page inside a parent page
- Find Data Source Items
Searches for items in a data source by its properties.
- Find Page (By Title)
Searches for a page by title.
- Get Block
Retrieves a block by ID.
- Get Block Children
Retrieves child blocks of a parent block or page with support for pagination.
- Get Page
Retrieves a specific page or data source item from Notion using its ID.
- Get Page and Children
Retrieves a page by its ID and all of its block children.
- Get Page Comments
Retrieves comments from a Page.
- Get Page Property
Retrieves a specific property value from a Notion page.
- Get User Details
Retrieves user information by ID.
- Query Data Source (Advanced)
Query a Notion data source with advanced filtering and sorting using JSON. Supports complex logic like AND/OR conditions, multiple sorts, and all Notion filter types.
- Restore Data Source Item
Restores a data source item which was previously archived.
- Retrieve Database
This action retrieves a database in Notion using the ID of the database.
- Update Database
Updates a Notion database's title, description and column (property) schema.
- Update Data Source Item
Updates a data source item.
- Update Data Source Schema
Updates a Notion data source schema including properties and title. Allows adding, modifying, or removing data source properties to change the schema.
- Upload File to Data Source Item
Uploads a file to a files property in a data source item.
- Upload File to Page or Block
Uploads a file to a page or block in Notion.
- Add collection
Creates a new Qdrant collection with the vector size, distance metric and storage settings you choose.
- Add payload index
Creates a payload index on a field of a Qdrant collection so filters and searches on that field run faster.
- Add points
Adds points (vectors with optional payloads) to a Qdrant collection, overwriting any existing points that have the same ids.
- Add snapshot
Creates a new snapshot of a Qdrant collection and returns the snapshot's name, size, checksum and creation time.
- 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.
- Delete collection
Deletes a collection and all of the points and data stored in it.
- Delete points
Deletes points from a Qdrant collection, either by a list of point ids or by every point matching a filter.
- 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.
- Get collection
Returns the details of a collection: its status, point and segment counts, vector and index configuration, and payload schema.
- Get point
Returns a single point from a Qdrant collection by its id, including its payload and vector.
- List collections
Returns the names of every collection in your Qdrant instance.
- List points
Returns the points stored in a Qdrant collection, optionally narrowed by a filter and ordered by a payload field, fetching every page.
- List snapshots
Returns every snapshot taken of a collection, with each snapshot's name, size, checksum and creation time.
- Update collection
Updates the settings of an existing Qdrant collection, such as its vector, index, optimizer, quantization, strict-mode or metadata parameters.
- 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.
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
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Questions
Notion and Qdrant Vector Store, answered
What can start an automation from Notion?
Any of Notion's 5 triggers in the catalog, including New Comment, New Data Source Item, Updated Content in Data Source Item and Updated Content in Page. 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 Notion?
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 Notion?
Qdrant Vector Store has no triggers in the catalog today, so automations start in Notion. 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 Notion 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 Notion 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.