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closermethod

Outreach Deliverability MCP

Outreach Deliverability MCP

The channel-safety layer for cold outreach. Volume discipline, sender setup, spam auditing — so good messages actually arrive.

Disclaimer. Platform limits and filtering behavior change frequently; values are conservative practitioner ranges as of last verification, not platform guarantees. Legal notes (CAN-SPAM / GDPR / PECR / CASL) are orientation, not legal advice.


Why This Exists

Most outbound fails before the copy is ever read. Burned domains, throttled LinkedIn accounts, and spam-foldered sends kill campaigns that any message audit would have passed. AI agents make this worse: they can generate 500 perfect emails an hour, and sending them is exactly how you lose the domain.

This MCP is the layer that keeps the channel alive. It does NOT send anything — it returns rules, checklists, and audits that an agent consults BEFORE and DURING a campaign.

The core diagnostic it encodes: deliverability problems masquerade as copy problems. A 1% reply rate usually isn't a bad hook — it's a foldered send. Fix order: infrastructure → list → message.

Related MCP server: @deliveriq/mcp

6 Tools

Tool

What it returns

get_channel_rules

Safe daily volumes, account setup, warmup protocol, kill signals, personalization floor, and legal basics per channel: email, LinkedIn, Instagram DM, X DM

get_sender_setup_checklist

The 10-step cold-email infrastructure checklist: lookalike domains, SPF, DKIM, DMARC, mailboxes, warmup, list verification, tracking, compliance, monitoring

audit_spam_triggers

Copy audit: 30+ flagged phrases, all-caps, exclamations, link count, attachments, money symbols, fake Re:/Fwd: — with a 0-100 risk score

interpret_benchmark

Healthy/warning ranges for open rate, reply rate, bounce rate, LinkedIn acceptance, DM reply — with an optional direct read of your observed value

diagnose_campaign

Given your observed metrics, names the failure layer (infrastructure vs list vs message) and the fix order

get_full_pack

The complete library as one payload for full agent context

Sample Use

// Campaign feels dead. Copy problem or channel problem?
mcp.call("diagnose_campaign", {
  channel: "email", open_rate: 31, reply_rate: 0.8, bounce_rate: 4.2
});
// Returns: failure layer = LIST. Bounce 4.2% > 3% is actively damaging the
// domain; open 31% says sends are being foldered. Fix infrastructure and
// list BEFORE touching the copy.

mcp.call("audit_spam_triggers", { text: "URGENT: Don't miss this LIMITED TIME offer!!! Click here..." });
// Returns: HIGH RISK, phrase + structural hits itemized.

Works With

Pair with outbound-engine-mcp: that one makes the message worth sending; this one makes sure it lands.

Built By

Elisabeth Hitz — 10+ years of B2B enterprise sales experience across ad-tech, SaaS, media, and global hiring. Now building MCP servers for the AI agent ecosystem.

License: MIT

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