# Connect Buffer to Mongo

When **New media post by you** fires in [Buffer](https://apiant.ai/connections/buffer), 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.

Buffer **2** triggers Buffer **7** 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 Buffer 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 Buffer can start in Mongo

- When **New media post by you** in Buffer then **Add database user** in Mongo
- When **New post by you** in Buffer 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 Buffer and Mongo

## Triggers and actions 2 triggers · 13 actions

- Trigger

**New media post by you**

Triggered every time you add a new post to Buffer or post now via Buffer with a media URL in the post.

- Trigger

**New post by you**

Triggered every time you add a new post to Buffer or post now via Buffer.

- Action

**Add tag**

Create a tag via Buffer GraphQL createTag mutation (experimental). See developers.buffer.com/examples/create-tag.html

- Action

**Delete tag**

Deletes a tag by ID. The tag is removed from every post, idea and content item carrying it.

- Action

**Get channel**

Get one channel by id via Buffer GraphQL channel query. See developers.buffer.com/examples/get-channel.html

- Action

**Get post**

Returns a single Buffer post by its id, including its text, status, schedule, channel, tags, media and metrics.

- Action

**List channels**

List channels of an organization via Buffer GraphQL channels query (supports filters). See developers.buffer.com/examples/get-channels.html

- Action

**List organizations**

List the account's organizations via Buffer GraphQL account.organizations query. See developers.buffer.com/examples/get-organizations.html

- Action

**Update tag**

Update a tag via Buffer GraphQL updateTag mutation. See developers.buffer.com/examples/update-tag.html

- 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

- [ **Buffer** Buffer lets you schedule and publish social media posts across multiple profiles.](https://apiant.ai/connections/buffer)
- [ **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 Buffer

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

## 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

## Buffer and Mongo, answered

###

### What can start an automation from Buffer?

Any of Buffer's 2 triggers in the catalog, including New media post by you and New post by you. Describe the moment in plain language and your agent picks the right one.

###

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

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 Buffer?

Mongo has no triggers in the catalog today, so automations start in Buffer. 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 Buffer 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 Buffer 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.