Integration
Connect Calendly to Qdrant Vector Store
When New scheduled event (polling) fires in Calendly, 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 Calendly 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 Calendly can start in Qdrant Vector Store
When New scheduled event (polling) in Calendly
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 Calendly and Qdrant Vector Store
Triggers and actions 2 triggers · 33 actions
- Canceled scheduled event (polling)
Triggers when a scheduled event is canceled.
- New scheduled event (polling)
Triggers when a new scheduled event is created.
- Cancel scheduled event
Cancels a scheduled event with a specified reason for the cancellation.
- Create single-use scheduling link
Creates a single-use booking link that allows one person to schedule an event.
- Get current user
Returns the authenticated user's profile including name, email, timezone, and scheduling URL.
- Get event type
Returns details for the specified event type.
- Get invitee
Returns details about a specific invitee for a scheduled event.
- Get invitee next scheduled event
Gets the next scheduled event for the invitee specified by their email.
- Get scheduled event
Returns details about a specific scheduled event.
- Get user availability schedule
Returns details for the specified user availability schedule.
- List event invitees
Returns the list of invitees for a scheduled event, optionally filtered by status.
- List event type availability schedules
Returns the event type's availability schedules.
- List event types
Returns your calendar's event type templates, optionally filtered by scope and active status.
- List organization memberships
Returns all members of the connected Calendly organization (paginated). One record per membership: user_email, user_uri, user_name, role.
- List scheduled events
Returns scheduled events, filterable by scope, status, date range, and invitee email.
- List user availability schedules
Returns the user's availability schedules.
- List webhook subscriptions
Returns all webhook subscriptions for your organization.
- Mark invitee as no-show
Records that an invitee did not attend their scheduled event.
- Undo invitee no-show
Removes a no-show marking from an invitee.
- Update event type availability schedule
Replaces a single host's availability schedule on a Calendly event type with explicit date rules (full overwrite). Built for CalendarConnect: push real Mindbody bookable slots into Calendly so only MBO-bookable times are offered. CRITICAL: the host is targeted by the NESTED availability_rule.user — a top-level user alone is silently ignored and Calendly replaces the OAuth token owner's schedule instead. Always verify stored_user equals the requested host before trusting the result. For round-robin events, call once per host.
- 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
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Questions
Calendly and Qdrant Vector Store, answered
What can start an automation from Calendly?
Any of Calendly's 2 triggers in the catalog, including New scheduled event (polling) and Canceled scheduled event (polling). 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 Calendly?
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 Calendly?
Qdrant Vector Store has no triggers in the catalog today, so automations start in Calendly. 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 Calendly 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 Calendly 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.