Email Deliverability QA
by Shah Rahat HossainUpdated May 4, 2026
Analyzes emails for deliverability issues including spam scores, authentication validation (SPF/DKIM/DMARC), blacklist status, and inbox placement predictions. Email marketers and developers use it to test campaigns and transactional messages before sending, reducing bounce rates and spam folder placements.
email-deliverability
spam-analysis
auth-verification
|Overview
The Email Deliverability QA MCP server enables AI models to run programmatic checks on email content and sender configurations to assess delivery success rates. It identifies common failure points like poor content scoring or misconfigured domains, providing data to improve inbox reach.
Key Capabilities
- spam_analysis: Evaluates email content, headers, and links against spam filters from multiple providers to generate a spam score.
- auth_verification: Checks SPF, DKIM, and DMARC records for the sender domain to confirm authentication setup.
- blacklist_check: Scans sender IP and domain against major blacklists like Spamhaus and Barracuda.
- deliverability_score: Combines all metrics into a percentage-based prediction of inbox delivery probability.
Use Cases
- Pre-campaign validation: Run spam_analysis and auth_verification on bulk marketing emails to adjust subject lines or HTML before launch.
- Transactional email troubleshooting: Use blacklist_check and deliverability_score when user complaints indicate delivery drops.
- New domain rollout: Verify auth_verification after setting up email infrastructure for e-commerce platforms.
- A/B testing: Compare spam_analysis results across email variants to select the highest-delivering version.
Who This Is For
- Developers integrating email APIs into applications (e.g., Node.js apps using Nodemailer).
- Marketing teams managing ESPs like Mailchimp or Klaviyo.
- DevOps engineers monitoring sender reputation for SaaS products.