Integration
Connect Nifty to Qdrant Vector Store
When New Doc fires in Nifty, 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 Nifty 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 Nifty can start in Qdrant Vector Store
When New Doc in Nifty
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 Nifty and Qdrant Vector Store
Triggers and actions 11 triggers · 32 actions
- New Doc
Triggers when a new doc is created.
- New File
Triggers when a new file is uploaded.
- New Message
Triggers when a new message is sent.
- New Milestone
Triggers when a new milestone is created.
- New Portfolio
Triggers when a new portfolio is created.
- New Project
Triggers when a new project is created.
- New Status
Triggers when a new status is created.
- New Subtask
Triggers when a new subtask is created.
- New Tag
Triggers when a new tag is created.
- New Task
Triggers when a new task is created.
- Task Is Completed
Triggers when a task is completed.
- Create Document
Creates a Nifty document in a project, optionally seeding its body from Markdown.
- Create File
creates a file record in a project from text content (or a URL), firing file.created.
- Create Milestone
Creates a milestone (a date-spanning list shown on the project roadmap) in a Nifty project.
- Create Portfolio
Creates a portfolio (a team-level grouping of projects) in Nifty.
- Create Project
Creates a new project.
- Create Status
Creates a status column (Kanban column / list stage) in a Nifty project.
- Create Subtask
Creates a new subtask.
- Create Tag
Creates a tag (called a label in the Nifty API) that can be applied across the workspace to tasks, documents, files and more.
- Create Task
Creates a new task.
- Create Upload URL
Returns a presigned upload URL and storage key for a new file. Upload the bytes to the URL, then pass the key to Create File.
- Get Document
Retrieve a single Nifty document's details (name, project, access type, author, timestamps). The document body is not included.
- Get Message
Retrieve a single Nifty message (chat message or comment) by its ID.
- Get Milestone
Retrieve a single milestone by its id, including its custom-field values.
- Get Project
Retrieve a single Nifty project by its id, including its custom-field values and any related records you ask to expand.
- Get Status
Retrieve a single Nifty status column by its id.
- Get Tag
Retrieves a single tag (Nifty label) by id.
- Send Message
Posts a message in Nifty: into a chat, as a comment on a task, document, file or annotation, as a reply to another message, or as a direct message to a team member.
- 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
Nifty and Qdrant Vector Store, answered
What can start an automation from Nifty?
Any of Nifty's 11 triggers in the catalog, including New Doc, New File, New Message and New Milestone. 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 Nifty?
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 Nifty?
Qdrant Vector Store has no triggers in the catalog today, so automations start in Nifty. 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 Nifty 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 Nifty 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.