Integration
Connect Amazon Redshift to Honeyhive
When New Row fires in Amazon Redshift, your agent runs Add batch of events in Honeyhive. 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 Amazon Redshift and Honeyhive 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 Amazon Redshift can start in Honeyhive
then Add batch of events in Honeyhive
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 Amazon Redshift and Honeyhive
Triggers and actions 2 triggers · 30 actions
- New Row
Triggers when a new row is added to an Amazon Redshift table.
- Updated Row
Triggers when a row in an Amazon Redshift table is added or changed, based on its updated-time column.
- Create Rows
Adds a row to an Amazon Redshift table.
- Delete Rows
Deletes the rows in an Amazon Redshift table that match a condition.
- Find Rows
Finds rows in an Amazon Redshift table that match a condition.
- Query Database
Runs one SQL statement on your Amazon Redshift database and returns any rows it produces.
- Update Rows
Updates the rows in an Amazon Redshift table that match a condition.
- Add annotation queue
Create a new annotation queue.
- Add batch of events
Create multiple events in one call.
- Add batch of session events
Add a batch of events to an existing session.
- Add datapoint
Create a new datapoint.
- Add dataset
Create a new dataset.
- Add event
Create a new event (LLM trace/span/tool call) in HoneyHive.
- Add run
Create a new evaluation run (experiment).
- Add session
Start a new tracing session.
- Delete datapoint
Delete a datapoint by ID.
- Delete dataset
Delete a dataset by ID.
- Delete metric
Delete a metric by ID.
- Find events by filters
Search/filter events.
- Get datapoint
Retrieve a single datapoint by ID.
- Get event
Retrieve a single event by ID.
- Get run
Get details of an evaluation run by ID.
- List annotation queues
List annotation queues for a project.
- List datapoints
Retrieve a list of datapoints.
- List datasets
Retrieve datasets for a project.
- List metrics
List all metrics for a project.
- List runs
Get a list of evaluation runs (experiments) for a project.
- Run metric evaluation
Run a metric evaluation and return the result.
- Update datapoint
Update an existing datapoint.
- Update dataset
Update an existing dataset.
- Update event
Update fields on an existing event.
- Update metric
Update an existing metric.
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
Amazon Redshift and Honeyhive, answered
What can start an automation from Amazon Redshift?
Any of Amazon Redshift's 2 triggers in the catalog, including New Row and Updated Row. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Honeyhive when something happens in Amazon Redshift?
Any of Honeyhive's 25 actions, including Update datapoint, Update dataset, Update event and Update metric. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Honeyhive to Amazon Redshift?
Honeyhive has no triggers in the catalog today, so automations start in Amazon Redshift. If you need the other direction, ask: your agent reads Honeyhive's API documentation and adds it.
Do I have to build a connector for Amazon Redshift or Honeyhive?
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 Amazon Redshift and Honeyhive 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.