Integration
Connect Beeminder to Qdrant
When New Datapoint fires in Beeminder, your agent runs Add collection in Qdrant. 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 Beeminder and Qdrant 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 Beeminder can start in Qdrant
When New Datapoint in Beeminder
then Add collection in Qdrant
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 Beeminder and Qdrant
Triggers and actions 2 triggers · 24 actions
- New Datapoint
Triggers when a new datapoint is added to the chosen goal.
- New Goal
Triggers when a new Beeminder goal is created.
- Add Goal Datapoint
Adds a datapoint to a Beeminder goal.
- Create Goal
Creates a new Beeminder goal. Give exactly two of goal date, goal value and rate.
- Delete Datapoint
Deletes a datapoint from a goal and returns the deleted datapoint.
- Get Goal
Returns one Beeminder goal, including its target, rate, pledge and safety buffer.
- Get User
Returns the connected Beeminder user's profile, including username, timezone and goal slugs.
- List Datapoints
Returns a goal's datapoints, newest first.
- List Goals
Returns all of the connected user's active Beeminder goals.
- Update Datapoint
Changes the value, time or comment of an existing datapoint.
- Update Goal
Updates a goal's title, y-axis label or privacy settings.
- Add collection
Creates a new Qdrant collection with the given name and vector configuration.
- Add payload index
Creates a payload index on a field of a Qdrant collection so that filters on that field run fast.
- Add points
Adds points (vectors with optional payloads) to a Qdrant collection, overwriting any existing point with the same id.
- Add snapshot
Creates a new snapshot of a Qdrant collection and returns the snapshot's name, size and checksum.
- Count points
Returns the number of points in a Qdrant collection, optionally only those matching a payload filter.
- Delete collection
Deletes a Qdrant 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 closest to the vector you supply, ranked by similarity score, with their payloads.
- Get collection
Returns the details of a Qdrant collection: its status, point and vector counts, segment count, configuration and payload index schema.
- Get point
Returns a single point from a Qdrant collection, including its payload and vector.
- List collections
Returns the names of all collections in your Qdrant cluster.
- List points
Returns the points stored in a Qdrant collection, optionally narrowed by a payload filter and ordered by a payload field.
- List snapshots
Returns every snapshot stored for a Qdrant collection, with each snapshot's file name, creation time, size and checksum.
- 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 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.
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
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More into Qdrant
Questions
Beeminder and Qdrant, answered
What can start an automation from Beeminder?
Any of Beeminder's 2 triggers in the catalog, including New Datapoint and New Goal. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Qdrant when something happens in Beeminder?
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 it also run from Qdrant to Beeminder?
Qdrant has no triggers in the catalog today, so automations start in Beeminder. If you need the other direction, ask: your agent reads Qdrant's API documentation and adds it.
Do I have to build a connector for Beeminder or Qdrant?
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 Beeminder and Qdrant 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.