Agentic Orchestration for Brevo

AI Agents That Run Your Marketing

Describe what you want in plain language. Tajo agents plan, execute, and optimize across Brevo's full engagement stack, email, SMS, WhatsApp, CRM, powered by the Model Context Protocol.

Tajo Agentic Architecture
Natural Language , "Create a win-back campaign for churned VIPs"
AI Agents , Reason, plan, compose tools based on goals
Tajo Skills , Atomic MCP tools wrapping Brevo API
Brevo MCP Server , 27 modules: contacts, email, SMS, WhatsApp, CRM

How Agents Work

01

Describe

Tell the agent what you want in plain language

"Win back customers who haven't ordered in 90 days with email + SMS"

02

Reason

Agent plans the execution using its strategy and constraints

Selects tools, designs sequence, checks guardrails

03

Execute

Agent calls Brevo MCP tools to create segments, send campaigns

brevo_contacts → brevo_segments → brevo_email → brevo_sms

04

Learn

Track results, adjust strategy, report outcomes

Recovery rate, revenue impact, engagement metrics

Agents Are Just Markdown

Every agent is a markdown file with YAML frontmatter. Define tools, triggers, temperature, and guardrails, then write instructions in natural language. No code required to create powerful marketing automation.

  • Markdown-based, version control with git
  • Scoped tools, agents only access what they need
  • Multi-agent chains for complex workflows
  • Event, schedule, and webhook triggers

Powered by Brevo MCP

Brevo's official MCP server exposes 27 modules as AI-callable tools. Tajo agents connect to exactly the modules they need, contacts, campaigns, SMS, WhatsApp, CRM deals, with built-in rate limiting and auth.

  • 27 Brevo MCP modules available
  • Works with Agentx, Cursor, VS Code, Windsurf
  • Hosted server, no local setup needed
  • Individual servers for least-privilege access

Build your first agent

Create an AI agent that orchestrates Brevo campaigns in minutes.