Bento MCP Server

The Bento MCP Server connects AI assistants to your Bento account using the Model Context Protocol. This lets you manage subscribers, update email sequences, track events, and send emails using natural language commands.

Works with:

• Claude Desktop
• Cursor
• OpenCode
• Any MCP-compatible AI assistant

npm install -g @bentonow/bento-mcp

npx @bentonow/bento-mcp

{
  "mcpServers": {
    "bento": {
      "command": "npx",
      "args": ["-y", "@bentonow/bento-mcp"],
      "env": {
        "BENTO_PUBLISHABLE_KEY": "your-publishable-key",
        "BENTO_SECRET_KEY": "your-secret-key",
        "BENTO_SITE_UUID": "your-site-uuid"
      }
    }
  }
}

{
  "mcpServers": {
    "bento": {
      "command": "npx",
      "args": ["-y", "@bentonow/bento-mcp"],
      "env": {
        "BENTO_PUBLISHABLE_KEY": "your-publishable-key",
        "BENTO_SECRET_KEY": "your-secret-key",
        "BENTO_SITE_UUID": "your-site-uuid"
      }
    }
  }
}

{
  "mcp": {
    "bento": {
      "type": "local",
      "command": ["npx", "-y", "@bentonow/bento-mcp"],
      "environment": {
        "BENTO_PUBLISHABLE_KEY": "your-publishable-key",
        "BENTO_SECRET_KEY": "your-secret-key",
        "BENTO_SITE_UUID": "your-site-uuid"
      }
    }
  }
}

Once configured, you can ask your AI assistant to perform any Bento operation using natural language. Here are real examples:

Update Email Sequences

Manage Subscribers

Track Events & Purchases

Get Statistics

Create Broadcasts

Send Transactional Emails

The MCP server provides these tools that your AI assistant can use:

Subscriber Management

Tagging

Event Tracking

Field Management

Sequences & Workflows

Email & Broadcasts

Statistics

Experimental

Forms

Improving Your Welcome Sequence

Here's a step-by-step example of how you might work with your AI assistant to improve emails:

Step 1: Ask to see your sequences

"Show me all my email sequences in Bento"

Step 2: Review a specific sequence's emails

"Read all the emails in the Welcome Sequence and summarize them"

Step 3: Get suggestions

"How can we make email #2 more engaging? It has a low open rate."

Step 4: Make updates

"Update email #1234 with that new subject line and the improved copy you suggested"

Bulk Operations

"Import these 50 subscribers from my spreadsheet and tag them all as 'webinar-attendee'"

"Find all subscribers tagged 'trial-expired' and add the tag 'win-back-campaign'"

Analytics Deep Dive

"Compare the performance of our last 3 broadcasts - which had the best click rate?"

"What's the subscriber count for the 'active-customers' segment?"

1. Start with lookups - Before making changes, ask your AI to show you the current state. "Show me the welcome sequence" before "Update the welcome sequence."

2. Be specific with IDs - When you know a template or subscriber ID, mention it directly for faster operations.

3. Batch when possible - For multiple subscribers, use batch import instead of adding one at a time.

4. Review before sending - For broadcasts and transactional emails, ask your AI to show you the content before sending.

5. Use tags strategically - Tags trigger automations, so be intentional about when you add them.

Common Issues

Verifying the Connection

Ask your AI assistant:

"Can you connect to Bento? Try listing my tags."

If it works, you'll see your tags. If not, check your configuration.

• GitHub Repository
• Model Context Protocol
• Bento Node SDK
• API Reference