The AI-native email platform
Generate campaigns, optimize subjects, predict send times, and score deliverability — all from a prompt. The first email platform with a native MCP server for Claude, Cursor, and Windsurf.
Claude
Cursor
WindsurfSubject line test
Re-engagement · 12,400 contacts
We miss you — and we've been busy
38%
Your account is gathering dust 🌿
42%
Come back — here's what's new
29%
Spam score
1.2
out of 10
Best send time
Tue 9:41 AM
per-contact · personalised
847 contacts
Re-engagement segment
MCP server
Control Sendbound from Claude, Cursor, or Windsurf via 8 native tools.
Content generation
Full sequences from one prompt. Regenerate any block inline.
Subject optimizer
Test 4 variants. Auto-promote the winner at 95% confidence.
Send-time predictor
Schedule each contact for their individual peak engagement window.
MCP Server
Control Sendbound from any AI assistant
The Sendbound MCP server exposes your entire account as callable tools. Claude, Cursor, and Windsurf can compose campaigns, query segments, fire transactional emails, and pull analytics — all from a chat prompt.
One config line, works in every project
Authenticated with your existing API key
Natural language → email actions, instantly
Query segments
Filter by plan, behavior, tags
Generate content
Campaigns, sequences, transactional
Schedule sends
At each contact's peak window
Pull analytics
Opens, clicks, revenue per send
Spam score analyzer
Know your inbox placement before you click send
Deliverability feedback belongs in the composing experience, not in a report after your campaign fails. Sendbound evaluates content, link reputation, image-to-text balance, blocklists, and authentication in real time as you write.
Fix a weak subject, excessive links, or a missing unsubscribe route while the message is still editable. The score turns technical sending signals into clear guidance your whole team can act on.
Real-time scoring as you type
50+ blocklist checks on every save
Authentication and DNS signal analysis
Actionable fix suggestions inline
Spam score
Excellent — safe to send
Checked against 50+ blocklists in real time · updates as you type
Subject line test
Re-engagement · Scale 30d dormant
12,400
audience
6h 14m
duration
Welcome to Sendbound
38%
open rate
Your first email is five minutes away
42%
open rate
A better way to send
29%
open rate
Ready when you are
35%
open rate
Variant B promoted to remaining 9,300 contacts
Subject optimizer
Stop guessing, start optimizing
Test up to four subject angles without splitting your audience by hand. Sendbound calculates the right sample size, distributes variants fairly, and monitors statistical significance as results arrive.
When a variant clears your confidence threshold, it automatically promotes to the remaining audience — better opens with no delay and no manual intervention.
Up to 4 simultaneous variants
Auto-promote at configurable confidence
AI pre-scores variants before testing
Works on campaigns and sequences
Send-time prediction
Send at the moment each contact is most likely to open
A single broadcast time optimizes for nobody. Sendbound models each contact's historical open and click behavior, then schedules within their predicted peak engagement window.
The heatmap updates as new engagement data arrives. Contacts who have never engaged get a smart default based on industry patterns for their timezone.
Per-contact engagement heatmap
Timezone-aware scheduling
Industry benchmarks for new contacts
Integrates with sequences and campaigns
Engagement heatmap · Sarah Mitchell
Peak window: Tuesday 9–11am
Sarah Mitchell
Tue 9:30am
46% open prob.
James Chen
Wed 2:00pm
39% open prob.
Olivia Park
Mon 8:15am
52% open prob.
42%
avg. open rate with AI subjects
1.4
avg. spam score across AI drafts
3.2×
higher clicks vs no optimization
8
MCP tools, one config line
How Sendbound AI compares
Generation, scoring, send-time optimization, subject testing, and an MCP server — not four separate tools.
| Feature | Sendbound AI | Mailchimp | Klaviyo | ActiveCampaign |
|---|---|---|---|---|
| Full email sequence generation | ✓ | Partial | ✗ | ✗ |
| MCP — control from any AI assistant | ✓ | ✗ | ✗ | ✗ |
| Spam score before send | ✓ | ✗ | ✗ | ✗ |
| Subject line A/B optimizer | ✓ | ✓ | ✓ | Partial |
| Per-contact send-time prediction | ✓ | Partial | ✓ | ✗ |
| Predictive open-rate estimate | ✓ | ✗ | Partial | ✗ |
| Works on API sends (not just campaigns) | ✓ | ✗ | ✗ | ✗ |
| Included on free plan | ✓ | ✗ | ✗ | ✗ |
AI questions, answered
What is the Sendbound MCP server?
The MCP server exposes your Sendbound account as tools that any MCP-compatible AI assistant — Claude, Cursor, Windsurf — can call. You can compose, send, and analyze campaigns from a chat prompt.
Is AI-generated content unique to my brand?
Yes. Your prompt, brand context, audience, and editing choices guide every generation. Output is never shared or reused.
How does send-time prediction work?
It models each contact's historical open and click behavior, then schedules within their predicted engagement window — not a single broadcast time.
Can I edit AI-generated emails?
Always. AI output opens directly in the editor, where you can rewrite, reorder, or regenerate any block inline.
What data does the AI use?
Models use aggregate deliverability patterns and your authorized account context — never the contents of another customer's campaigns.
Is my data used to train the AI model?
No. Your campaign content and contact data are never used to train shared models.