Integration
Connect Text Request to Qdrant Vector Store
When New Contact fires in Text Request, 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 Text Request 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 Text Request can start in Qdrant Vector Store
When New Contact in Text Request
then Add collection in Qdrant Vector Store
When New Message in Text Request
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 Text Request and Qdrant Vector Store
Triggers and actions 2 triggers · 38 actions
Trigger
New ContactTriggers when a new contact is added to a dashboard.
Trigger
New MessageTriggers when a text message is sent or received on a dashboard.
Action
Add custom fieldCreates a new custom field on a Text Request dashboard, which can then be set on contacts.
Action
Add group messageSends a group text message to selected groups and/or phone numbers from a dashboard, immediately, at a scheduled time, or on a recurring schedule.
Action
Add keywordCreates a new keyword on a Text Request dashboard, with an optional automatic reply sent when a contact texts it.
Action
Add paymentSends a payment request text to a contact for the given amount and returns the new payment.
Action
Add userCreates a new user in your Text Request account with the given name, email and password, optionally granting administrator rights or dashboard permissions.
Action
Create GroupCreates a contact group on a dashboard.
Action
Create TagCreates a contact tag on a dashboard.
Action
Delete ContactDeletes a contact from a dashboard by their phone number.
Action
Delete groupDeletes a group from a dashboard. Contacts in the group are kept.
Action
Delete tagDeletes a contact tag from a Text Request dashboard. Contacts that carried the tag are not deleted.
Action
Find ContactsFinds contacts on a dashboard by name, phone number, tag or group.
Action
Get ContactReturns one contact on a dashboard by their phone number, including name, tags, groups, custom fields and message counts.
Action
Get dashboardReturns a dashboard (texting line) with its name, phone number and time zone.
Action
List custom fieldsReturns all custom fields defined for a Text Request dashboard (texting line), with each field's id and name.
Action
List DashboardsReturns every dashboard (texting phone line) in your Text Request account, with its ID, name and phone number.
Action
List GroupsReturns all contact groups on a dashboard.
Action
List keywordsReturns all keywords on a Text Request dashboard, with their auto-response, linked group and subscriber count.
Action
List messagesReturns the text messages sent and received on a Text Request dashboard, optionally filtered by date range.
Action
List scheduled messagesReturns the pending scheduled one-to-one messages for a dashboard, optionally filtered by send time or to recurring messages only.
Action
List tagsReturns all contact tags defined on a Text Request dashboard, with each tag's name and color.
Action
List usersReturns the users in your Text Request account, optionally filtered by email or external user ID.
Action
Send MessageSends a text message from a dashboard to a contact's phone number, now or at a scheduled time.
Action
Update groupRenames a group on a Text Request dashboard and updates its notes.
Action
Add collectionCreates a new Qdrant collection with the vector size, distance metric and storage settings you choose.
Action
Add payload indexCreates a payload index on a field of a Qdrant collection so filters and searches on that field run faster.
Action
Add pointsAdds points (vectors with optional payloads) to a Qdrant collection, overwriting any existing points that have the same ids.
Action
Add snapshotCreates a new snapshot of a Qdrant collection and returns the snapshot's name, size, checksum and creation time.
Action
Count pointsReturns how many points in a Qdrant collection match an optional filter, or the total number of points when no filter is given.
Action
Delete collectionDeletes a collection and all of the points and data stored in it.
Action
Delete pointsDeletes points from a Qdrant collection, either by a list of point ids or by every point matching a filter.
Action
Find points by vectorReturns the points in a collection whose vectors are nearest to the vector you supply, ranked by similarity score, with their payloads.
Action
Get collectionReturns the details of a collection: its status, point and segment counts, vector and index configuration, and payload schema.
Action
Get pointReturns a single point from a Qdrant collection by its id, including its payload and vector.
Action
List collectionsReturns the names of every collection in your Qdrant instance.
Action
List pointsReturns the points stored in a Qdrant collection, optionally narrowed by a filter and ordered by a payload field, fetching every page.
Action
List snapshotsReturns every snapshot taken of a collection, with each snapshot's name, size, checksum and creation time.
Action
Update collectionUpdates the settings of an existing Qdrant collection, such as its vector, index, optimizer, quantization, strict-mode or metadata parameters.
Action
Update point payloadSets 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
More from Text Request
Text Request to TrelloTrello is a visual collaboration tool that organizes projects into boards, lists, and cards.
Text Request to ZoomZoom unifies cloud video conferencing, simple online meetings, group messaging, and a software-based...
Text Request to TwilioCloud communications platform for sending SMS/MMS messages, making and managing voice calls, and looking up...
Text Request to TypeformBuild and publish online forms, surveys, and quizzes with Typeform.
Text Request to WebflowWebflow is a professional website builder and CMS for designing, building, and launching responsive...
Text Request to WixThe Wix website builder gives businesses of any size the tools to create, manage and grow a fully integrated...
More into Qdrant Vector Store
HubSpot to Qdrant Vector StoreHubSpot is your all-in-one stop for all of your marketing software needs.
Salesforce to Qdrant Vector StoreSalesforce is a leading enterprise customer relationship management (CRM) platform.
Slack to Qdrant Vector StoreSlack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...
Google Sheets to Qdrant Vector StoreGoogle Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.
Gmail to Qdrant Vector StoreGmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...
Google Calendar to Qdrant Vector StoreGoogle Calendar is a time management tool providing scheduling features, event reminders, and integration...
Questions
Text Request and Qdrant Vector Store, answered
What can start an automation from Text Request?
Any of Text Request's 2 triggers in the catalog, including New Contact and New Message. 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 Text Request?
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 Text Request?
Qdrant Vector Store has no triggers in the catalog today, so automations start in Text Request. 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 Text Request 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 Text Request 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.