---
title: "Connect Productboard to Mongo - APIANT.ai"
description: "When \"New Feature\" fires in Productboard, your agent runs \"Add database user\" in Mongo."
canonical: "https://apiant.ai/connect/productboard-to-mongo"
---

# Connect Productboard to Mongo

When **New Feature** fires in [Productboard](https://apiant.ai/connections/productboard), your agent runs **Add database user** in [Mongo](https://apiant.ai/connections/mongo). Describe the whole flow and it is built, tested on every scenario and kept running.

Productboard **4** triggers Productboard **12** actions Mongo **6** actions

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

## What do you want Productboard and Mongo 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 Productboard can start in Mongo

- When **New Feature** in Productboard then **Add database user** in Mongo
- When **New Note** in Productboard then **List database users** in Mongo

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 Productboard and Mongo

## Triggers and actions 4 triggers · 18 actions

- Trigger

**New Feature**

Triggered when a new feature is created in Productboard.

- Trigger

**New Note**

Triggered when a new note (a piece of customer feedback) is created in Productboard.

- Trigger

**Updated Feature**

Triggered when a feature is created or changed in Productboard.

- Trigger

**Updated Note**

Triggered when a note (a piece of customer feedback) is created or changed in Productboard.

- Action

**Create Company**

Creates a company record in Productboard so customer feedback and insights can be attributed to it. Returns the new company's ID and a link to open it in Productboard.

- Action

**Create Feature**

Creates a feature in Productboard under a product or component you choose. Optionally sets the description, owner and status. Returns the new feature's ID and a link to open it in Productboard.

- Action

**Create Note**

Creates a note (a piece of customer feedback) in Productboard. Optionally attributes it to a company or customer, links it to a feature, and applies existing tags. Returns the new note's ID and a link to open it in Productboard.

- Action

**Find Note**

Looks up a single note (customer feedback) in Productboard. Narrows the list by owner, created date and processed/archived state, then matches the text you give against the note's title and body. Returns the first match, or found=false.

- Action

**Get Company**

Returns one company from Productboard by its ID, including its name, domain, description, owner and any custom fields set up in your workspace.

- Action

**Get Feature by ID**

Returns one feature from Productboard by its ID, including its name, description, owner, status and any custom fields set up in your workspace.

- Action

**List Components**

Returns the components in your Productboard workspace — the folders that features live under. Use a component's ID as the parent when creating a feature.

- Action

**List Members**

Returns the people who have access to your Productboard workspace, with their email address and role. Optionally search by name or email and filter by role.

- Action

**List Note Relationships**

Returns everything a Productboard note is linked to — the customer or company it came from and the features it has been connected to.

- Action

**List Products**

Returns the products in your Productboard workspace — the top level of the product hierarchy. Use a product's ID as the parent when creating a feature or component.

- Action

**List Releases**

Returns the releases in your Productboard workspace — the buckets features are grouped into for delivery — with their status and dates.

- Action

**Update Note**

Changes an existing note in Productboard. Only the values you fill in are sent, so anything left empty keeps its current value.

- Action

**Add database user**

Creates a database user in a MongoDB Atlas project with the roles, scopes and authentication method you choose.

- Action

**Delete database user**

Removes a database user from an Atlas project.

- Action

**List alerts**

Returns the alerts in one Atlas project, optionally limited to open, tracking or closed alerts.

- Action

**List clusters**

Returns all clusters in one Atlas project, with each cluster's configuration, state and connection strings.

- Action

**List database users**

Returns all database users that belong to an Atlas project, including their roles and authentication settings.

- Action

**List projects**

Returns all MongoDB Atlas projects the connected account can access, with each project's name, id, organization and cluster count.

## Each app on its own

- [ **Productboard** Productboard is beautiful, simple, and powerful product management.](https://apiant.ai/connections/productboard)
- [ **Mongo** MongoDB Atlas is a fully managed cloud document database for storing, querying, and syncing application data.](https://apiant.ai/connections/mongo)

Reviews

## What our customers say

## More from Productboard

- [ **Productboard to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/productboard-to-salesforce)
- [ **Productboard to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/productboard-to-slack)
- [ **Productboard to Google Sheets** Google Sheets](https://apiant.ai/connect/productboard-to-google-sheets)
- [ **Productboard to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/productboard-to-stripe)
- [ **Productboard to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/productboard-to-shopify)
- [ **Productboard to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/productboard-to-quickbooks-online)

## More into Mongo

- [ **HubSpot to Mongo** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-mongo)
- [ **Salesforce to Mongo** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-mongo)
- [ **Slack to Mongo** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-mongo)
- [ **Google Sheets to Mongo** Google Sheets](https://apiant.ai/connect/google-sheets-to-mongo)
- [ **Gmail to Mongo** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-mongo)
- [ **Google Calendar to Mongo** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-mongo)

Questions

## Productboard and Mongo, answered

###

### What can start an automation from Productboard?

Any of Productboard's 4 triggers in the catalog, including New Feature, New Note, Updated Feature and Updated Note. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Mongo when something happens in Productboard?

Any of Mongo's 6 actions, including Add database user, List alerts, List clusters and List database users. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Mongo to Productboard?

Mongo has no triggers in the catalog today, so automations start in Productboard. If you need the other direction, ask: your agent reads Mongo's API documentation and adds it.

###

### Do I have to build a connector for Productboard or Mongo?

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 Productboard and Mongo 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.
