---
title: "Connect Amazon Relational Database Services (RDS) to Honeyhive - APIANT.ai"
description: "When \"New Database\" fires in Amazon Relational Database Services (RDS), your agent runs \"Add batch of events\" in Honeyhive."
canonical: "https://apiant.ai/connect/amazon-relational-database-services-rds-to-honeyhive"
---

# Connect Amazon Relational Database Services (RDS) to Honeyhive

When **New Database** fires in [Amazon Relational Database Services (RDS)](https://apiant.ai/connections/amazon-relational-database-services-rds), your agent runs **Add batch of events** in [Honeyhive](https://apiant.ai/connections/honeyhive). Describe the whole flow and it is built, tested on every scenario and kept running.

Amazon Relational Database Services (RDS) **1** trigger Honeyhive **25** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Amazon Relational Database Services (RDS) and Honeyhive to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One 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.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

Example flows

## What Amazon Relational Database Services (RDS) can start in Honeyhive

- When **New Database** in Amazon Relational Database Services (RDS) then **Add batch of events** in Honeyhive
- When **New Database** in Amazon Relational Database Services (RDS) then **Add batch of session 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 Relational Database Services (RDS) and Honeyhive

## Triggers and actions 1 trigger · 25 actions

- Trigger

**New Database**

Triggers when a new database instance is created in Amazon RDS.

- Action

**Add annotation queue**

Create a new annotation queue.

- Action

**Add batch of events**

Create multiple events in one call.

- Action

**Add batch of session events**

Add a batch of events to an existing session.

- Action

**Add datapoint**

Create a new datapoint.

- Action

**Add dataset**

Create a new dataset.

- Action

**Add event**

Create a new event (LLM trace/span/tool call) in HoneyHive.

- Action

**Add run**

Create a new evaluation run (experiment).

- Action

**Add session**

Start a new tracing session.

- Action

**Delete datapoint**

Delete a datapoint by ID.

- Action

**Delete dataset**

Delete a dataset by ID.

- Action

**Delete metric**

Delete a metric by ID.

- Action

**Find events by filters**

Search/filter events.

- Action

**Get datapoint**

Retrieve a single datapoint by ID.

- Action

**Get event**

Retrieve a single event by ID.

- Action

**Get run**

Get details of an evaluation run by ID.

- Action

**List annotation queues**

List annotation queues for a project.

- Action

**List datapoints**

Retrieve a list of datapoints.

- Action

**List datasets**

Retrieve datasets for a project.

- Action

**List metrics**

List all metrics for a project.

- Action

**List runs**

Get a list of evaluation runs (experiments) for a project.

- Action

**Run metric evaluation**

Run a metric evaluation and return the result.

- Action

**Update datapoint**

Update an existing datapoint.

- Action

**Update dataset**

Update an existing dataset.

- Action

**Update event**

Update fields on an existing event.

- Action

**Update metric**

Update an existing metric.

## Each app on its own

- [ **Amazon Relational Database Services (RDS)** Amazon Relational Database Services (RDS) allow you to set up, operate, and scale relational databases in...](https://apiant.ai/connections/amazon-relational-database-services-rds)
- [ **Honeyhive** Observability and evaluation platform for tracing, testing, and monitoring AI agents in production.](https://apiant.ai/connections/honeyhive)

Reviews

## What our customers say

## More from Amazon Relational Database Services (RDS)

- [ **Amazon Relational Database Services (RDS) to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/amazon-relational-database-services-rds-to-hubspot)
- [ **Amazon Relational Database Services (RDS) to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/amazon-relational-database-services-rds-to-salesforce)
- [ **Amazon Relational Database Services (RDS) to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/amazon-relational-database-services-rds-to-slack)
- [ **Amazon Relational Database Services (RDS) to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/amazon-relational-database-services-rds-to-google-sheets)
- [ **Amazon Relational Database Services (RDS) to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/amazon-relational-database-services-rds-to-gmail)
- [ **Amazon Relational Database Services (RDS) to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/amazon-relational-database-services-rds-to-google-calendar)

## More into Honeyhive

- [ **JIRA to Honeyhive** Atlassian JIRA Cloud — issue tracking and project management.](https://apiant.ai/connect/jira-to-honeyhive)
- [ **OnceHub to Honeyhive** Capture, qualify, and engage with inbound leads using ScheduleOnce, ChatOnce, FormOnce and SubmitOnce.](https://apiant.ai/connect/oncehub-to-honeyhive)
- [ **Swiftype to Honeyhive** Swiftype is a hosted search solution that lets site owners deliver powerful, customizable search for their...](https://apiant.ai/connect/swiftype-to-honeyhive)
- [ **HubSpot to Honeyhive** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-honeyhive)
- [ **Salesforce to Honeyhive** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-honeyhive)
- [ **Slack to Honeyhive** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-honeyhive)

Questions

## Amazon Relational Database Services (RDS) and Honeyhive, answered

###

### What can start an automation from Amazon Relational Database Services (RDS)?

Any of Amazon Relational Database Services (RDS)'s 1 trigger in the catalog, including New Database. 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 Relational Database Services (RDS)?

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 Relational Database Services (RDS)?

Honeyhive has no triggers in the catalog today, so automations start in Amazon Relational Database Services (RDS). 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 Relational Database Services (RDS) 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 Relational Database Services (RDS) and Honeyhive without building an automation?

Yes. With your AI client connected to APIANT, ask it to do something in Honeyhive 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.
