MCP.Market

Outbound Engine MCP server

by closermethod·io.github.closermethod/outbound-engine-mcp·v1.0.2
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One cold-outreach engine for any target: HOOK/BRIDGE/SOFT-ASK, follow-up ladder, reply playbook.

A85/100grade A
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A85/100

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If you have run it, two minutes of your experience saves the next person an afternoon.

Outbound Engine tools (7)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • audit_cold_message

    Audit a drafted cold message against the engine rules: no money/rates, no identity-first opener, specific hook required, soft ask only, under ~90 words, one ask. Returns PASS/FAIL with named violations and a rewrite recipe.

  • build_followup_ladder

    Returns the 5-step follow-up ladder (Day 3 bump, Day 7 value-give, Day 12 new proof, Day 18 soft close, Day 25 break-up) with the move and rule for each rung. 80% of deals close in follow-up; the break-up alone pulls ~30% of replies.

  • build_pricing_menu

    Returns the 3-option menu structure (Starter / Most Popular / Full), the two scoping questions to ask FIRST for the target type, and the drop-scope-not-price negotiation rule. Use only after the prospect asks about price — never in a cold message.

  • detect_red_flags

    Scan a prospect's reply or brief for walk-away signals: exposure-pay, spec-work requests, pay-on-performance, budget mismatch, scope-creep probes. Returns flags found and a CLEAN/CAUTION/WALK verdict.

  • get_full_pack

    Returns the complete engine: core rules, all target packs, follow-up ladder, reply playbook, pricing menu, red flags. Useful for full agent context (e.g. a Claude Project system prompt).

  • handle_reply

    Given the type of reply received, returns what it means, the next move, the reply shape, and the trap to avoid. Reply types: price_question, interested, not_now, no_budget, exposure_offer, spec_request, pay_on_performance, ghosted_after_interest.

  • structure_cold_pitch

    Get the HOOK / BRIDGE / SOFT ASK structure plus the 4 swap variables (who to pitch, signal to research, proof to lead with, soft-ask object) for a target type. Target types: brand_deal, ugc, newsletter_sponsorship, job, podcast, client_work.

Public scan report

scanner v0.1.9 · 2026-09-25 · same rubric, same numbers if you re-run it

no findings
  • Code scan3 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 73 days ago12/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Outbound Engine compares

Against every graded Sales and outbound MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 76% of 876 Sales and outbound servers
Tools
7
the typical Sales and outbound server has 8
Tools that change things
0%
typical: 11%. Fewer write tools means less an agent can break

What its tools let an agent do: 7 read

Install Outbound Engine in Claude Code, Cursor or VS Code

Runs npx -y outbound-engine-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add outbound-engine-mcp -- npx -y outbound-engine-mcp
Add to Cursor

What the publisher says

From the Outbound Engine repository's README, as published. We do not edit it. Read it on GitHub

Outbound Engine MCP

The cold-outreach method layer for AI agents. One engine, any target: brand deals, UGC, newsletter sponsorships, jobs, podcasts.

Built from the method behind The Outbound Engine.

Disclaimer. Outputs are structured outreach-method frameworks based on documented practice. Results vary by niche, proof quality, and consistency. Not legal advice. Follow platform rules and outreach law for your channel and region.

Why This Exists

Every AI agent that drafts cold outreach today has the same failure mode: it writes long, polite, generic pitches that ask a stranger for the biggest possible thing on the first touch. Those messages don't get replies, and outreach that doesn't get replies doesn't get deals.

This MCP encodes one rule and enforces it with tools:

A cold pitch is not trying to close a deal. It is trying to get a reply. The deal closes in the follow-up.

It does NOT send messages and does NOT scrape prospects. It is the method layer: give it a draft, a target type, or a reply — get back structure, violations, and the next move.

7 Tools

Sample Use

// Agent drafted a cold DM for a brand deal. Before sending:
mcp.call("audit_cold_message", {
  message: "Hi, I'm a UGC creator with 50k followers! I love your brand. My rate is $500/video...",
  target_type: "brand_deal"
});
// Returns: FAIL — no_money_in_cold_message, no_identity_first_opener,
// specific_hook_required + a 3-move rewrite recipe.

// Prospect replied asking "what do you charge?"
mcp.call("handle_reply", { reply_type: "price_question" });
// Returns: don't send one number — two scoping questions first, then the 3-option menu.

Target Types

branddeal · ugc · newslettersponsorship · job · podcast · client_work

Same engine, four swapped variables per target. That's the whole trick.

The Full System

This MCP is the free method layer. The full Outbound Engine product adds per-target research packs, an onboarding intake that builds your proof inventory, and the daily operating system — at elisabethhitz.com.

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

Nothing above is checked by us. What we check is on the safety report.

Outbound Engine: common questions

Is Outbound Engine MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Outbound Engine safety report
How do I install Outbound Engine?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Outbound Engine need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Outbound Engine maintained?
The last commit was 113 days ago (2026-07-14). The latest release is v1.0.2.
What can I use instead of Outbound Engine?
Servers from other publishers that do the same job: HeyLead — AI agent for LinkedIn outreach MCP server, Vibe Prospecting MCP server and Omentir MCP server.
How does Outbound Engine compare with other Sales and outbound MCP servers?
safety score 85/100 (higher than 76% of 876 Sales and outbound servers); tools 7 (the typical Sales and outbound server has 8); tools that change things 0% (typical: 11%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Outbound Engine

Same job from other publishers: the closest match first, then the best rated.

  • HeyLead — AI agent for LinkedIn outreach
    AI agent for LinkedIn outreach: finds the right people, writes in your voice, follows up, replies.
    A
  • Vibe Prospecting
    B2B company and contact data for lead lists, enrichment, research, and outreach. OAuth sign-in.
    A
  • Omentir
    Find LinkedIn prospects, draft outreach, and run human-paced campaigns from your AI agent.
    A
  • LinkedIn Toolkit
    LinkedIn for AI agents from your own Chrome session: search, profiles, lists, outreach queue.
    A
  • Leadbay
    AI lead discovery, qualification, and outreach prep on your Leadbay account.
    A

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