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OpenClaw Integrations

How to Connect Brevo to OpenClaw: Setup, Models, and Workflow Guide

·5 min read

If you're searching for "how to connect Brevo to OpenClaw", the real question is usually not just whether the connection is possible. It's how to make Brevo usable inside an OpenClaw workflow with the right model, the right context, and the right level of control.

That's the practical framing.

OpenClaw gives you the orchestration layer: connectors, skills, tools, prompts, approvals, and the ability to run workflows where your team already works. Brevo provides the domain context. The integration becomes valuable when those two pieces are connected cleanly.

What “Connect Brevo to OpenClaw” Actually Means

In practice, connecting Brevo to OpenClaw usually involves four layers:

  • Authentication so OpenClaw can securely access Brevo
  • Tooling or proxy endpoints that expose the right Brevo actions and data
  • Skills/instructions that tell OpenClaw how to reason over Brevo context
  • Model selection so the assistant uses the right LLM for the job

That last piece matters more than most people expect.

Which Models Can You Use?

OpenClaw is model-flexible, so a Brevo integration does not need to be tied to a single provider. Depending on your setup, teams commonly want to use:

  • OpenAI models like GPT-4o, GPT-4.1, and o3 for broad reasoning and tool use
  • Anthropic models like Claude 3.5 Sonnet, Claude Sonnet 4/4.5, and Claude Opus for strong writing, analysis, and long-context work
  • Google models like Gemini 1.5 Pro or newer Gemini models for multimodal and large-context workflows
  • Other model backends if your OpenClaw environment exposes them

The practical point: you can connect Brevo to OpenClaw once, then run different workflows with different models depending on the job.

For example:

  • Use Claude for nuanced summarisation or drafting
  • Use OpenAI for structured extraction, tool-heavy workflows, or general-purpose copiloting
  • Use Gemini when multimodal or very large context windows matter

A Good Integration Pattern for Brevo

A strong Brevo + OpenClaw setup usually looks like this:

  1. OpenClaw receives a request in chat or from an automation
  2. It calls the right Brevo endpoint or proxy
  3. The selected model reasons over the returned context
  4. OpenClaw returns an answer, draft, classification, or action
  5. High-risk actions stay behind approvals or structured guardrails

That is what makes the setup operational rather than just experimental.

Step-by-Step: Connect Brevo to OpenClaw

Step 1: Get Your Brevo API Key

Log into Brevo and go to Account → SMTP & API → API Keys. Generate a key. The Brevo API v3 base URL is https://api.brevo.com/v3/ and uses the key as the api-key request header. The API is REST-based and well-documented.

Step 2: Explore the Key Endpoints

For campaign monitoring: /emailCampaigns (list campaigns and their stats), /contacts (list/count contacts and lists), /transactionalEmails (transactional send logs). Brevo unifies marketing and transactional under one API, which makes it easier to build a single integration than with platforms that split them.

Step 3: Build the Proxy and Skill File

Build your proxy around campaign stats and contact list endpoints. Write ~/.openclaw/skills/brevo.md with your list names and IDs, the campaign types you use (email vs SMS), and the KPIs your team tracks.

Model-Specific Workflow Ideas

Brevo + OpenAI

Use this when you want a strong general-purpose setup for extraction, classification, action planning, and tool-driven workflows around Brevo.

Brevo + Claude

Use this when you want better writing quality, clearer summaries, stronger nuance, and reliable long-context reasoning over Brevo data.

Brevo + Gemini

Use this when the workflow benefits from large context windows, multimodal inputs, or Google-native ecosystem alignment.

Common Mistakes

Most teams do not fail because the model is bad. They fail because:

  • the Brevo connection is too thin
  • the model lacks the right live context
  • prompts are vague
  • no structured outputs are enforced
  • permissions and approvals are skipped
  • one model is forced to do every job, even when another would be a better fit

The best setup is usually one integration layer, multiple model options, and clear guardrails.

Challenges and Caveats

SMS and Email Stats Are in Different Endpoints

If you use both email and SMS campaigns, they're in separate API resource paths. Your skill file needs to make clear to Claude which type of campaign is being asked about.

Rate Limits Vary by Plan

Brevo's API rate limits are tied to your plan tier. Free plans have strict limits; Starter and higher give more headroom. Check your plan's limit before building real-time queries.

Want Brevo Connected to OpenClaw Without Building the Whole Stack Yourself?

Cody has Brevo integration built in. Query email and SMS campaign performance from Slack without any setup.

Get started with Cody →

Related OpenClaw Guides

Looking for a more workflow-first angle? See: Brevo AI Automation and Brevo AI Assistant.

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