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The Brew MCP ships guided prompts so agents chain the right tools in the right order. On clients that surface prompts, your agent can invoke them directly; the same recipes are also returned by get_brew_capabilities under workflows.

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Launch a campaign

launch_email_campaign — the full create → send → analyze loop:
  1. create_email_design from a prompt → iterate with edit_email_with_ai.
  2. send_email with test: true to QA.
  3. list_domains (verified sender) + list_audiences (or build one).
  4. send_email with audienceId, domainId, and an idempotency_key. Add scheduledAt to schedule.
  5. get_send_analytics + get_campaign_analytics.

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Build a segment and send

build_segment_and_send — a segment is a saved Audience with filters:
  1. search_contacts + list_custom_fields to see what you can filter on.
  2. create_audience with filters + logicalOperator (and / or). Add include: ["count"] to size it.
  3. create_email_design → send_email to the audienceId.

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Set up an automation

set_up_automation:
  1. create_trigger (note the triggerEventId).
  2. create_email_design.
  3. create_automation (a graph of sendEmail / wait / filter / split nodes).
  4. test_automation → update_automation { published: true }.
  5. fire_trigger_event from your app + monitor with list_automation_runs.

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Analyze performance

analyze_campaign_performance — get_send_analytics → get_campaign_analytics → get_event_analytics (and get_automation_analytics), then summarize wins, deliverability issues, and next experiments.

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Personalize with a CRM MCP

personalize_with_crm — this is where Brew shines next to other MCPs. Brew is the durable email marketing memory and infrastructure; a CRM / enrichment MCP (Clay, Attio, …) is the contact intelligence:
  1. Enrich — pull contact context (lifecycle, intent, firmographics) from your CRM MCP.
  2. Write it to Brew — create_custom_field for each attribute, then create_contact / update_contact (or import_contacts_csv).
  3. Segment — create_audience filtering on the enriched fields (e.g. lifecycle = "trial" AND intent = "high").
  4. Personalize — create_email_design that speaks to the segment, then send_email.
  5. Measure & re-segment — read analytics and refine.
This loop — enrich → segment → design → send → measure → re-segment — is the complete personalized email-marketing cycle, with Brew as the memory across runs.

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