About outbound-engine-mcp
outbound-engine-mcp provides outreach frameworks for creators, freelancers, and agents handling cold pitches across several target types. It structures and audits messages and guides follow-ups and replies, but does not send messages or find prospects.
Key features
- 01HOOK / BRIDGE / SOFT-ASK pitch structure
- 02Cold-message audits with rewrite guidance
- 03Five-step follow-up ladder
- 04Reply handling for common scenarios
- 05Pricing menus and red-flag detection
- 06Full engine pack for agent context
Use cases
- 01Structure a pitch for a brand deal or job
- 02Check a draft before sending it
- 03Choose a follow-up after no reply
- 04Assess a client's reply or pricing request
MCP support
Exposes seven outreach-method tools to MCP clients, including pitch structuring, message audits, follow-up planning, reply handling, and pricing guidance. It does not send messages or scrape prospects.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
7Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| target_type | enum | Yes | brand_deal | ugc | newsletter_sponsorship | job | podcast | client_work |
| signal_found | string | No | Optional: the one specific true thing you found about this target (5 words). If omitted, the response reminds you: no signal, no pitch. |
Details
From the project READMEOutbound 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
| Tool | What it returns |
|---|---|
structure_cold_pitch | HOOK / BRIDGE / SOFT ASK structure + the 4 swap variables (who to pitch, signal to research, proof to lead with, soft-ask object) per target type |
audit_cold_message | PASS/FAIL audit of a draft: money in a cold message, identity-first opener, generic hook, hard ask, length over ~90 words, multiple asks — with a rewrite recipe |
build_followup_ladder | The 5-step ladder (Day 3 / 7 / 12 / 18 / 25) — where 80% of deals actually close. The Day 25 break-up alone pulls ~30% of replies |
handle_reply | The next move for any reply type: price question, interested, not now, no budget, exposure offer, spec request, pay-on-performance, ghosted |
build_pricing_menu | The 3-option menu (Starter / Most Popular / Full) + the two scoping questions to ask first. Drop scope, never price |
detect_red_flags | Scans a reply or brief for walk-away signals: exposure-pay, spec work, pay-on-performance, budget mismatch, scope creep |
get_full_pack | The complete engine as one payload — drop it into a Claude Project system prompt |
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
brand_deal · ugc · newsletter_sponsorship · 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
Comments
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