Outbound Engine Mcp

io.github.closermethod由 GitHub 账号 closermethod 发布v1.0.2更新于 Oct 24, 2026

One cold-outreach engine for any target: HOOK/BRIDGE/SOFT-ASK, follow-up ladder, reply playbook.

已验证STDIO仅桌面效率与工作流商业与电商

概览

AI 生成的概览

一个冷启动外联方法层，为助手提供工具来构建、审查和跟进冷启动推销，适用于品牌合作、UGC、求职、播客和客户项目。

可以做什么
  • 把冷启动推销拆成 HOOK/BRIDGE/SOFT ASK 结构，并按目标类型给出四个替换变量
  • 审查草稿中的违规点，例如冷消息里报价、泛泛的开场、直接提大要求，并给出改写方案
  • 生成五步跟进阶梯，并针对价格询问、已读不回、曝光置换等回复类型给出下一步动作
  • 生成三档报价菜单，并扫描回复或需求简报中的危险信号，如免费试做、按效果付费
  • 把整套方法打包成一份内容，可直接放入系统提示
适用场景
适合助手起草或审阅冷启动外联时使用，让内容遵循以获取回复为目标的统一结构，而不是冗长泛泛的推销。也适合创作者和自由职业者向品牌合作、赞助、职位、播客或客户项目发起外联，需要审查和跟进计划时使用。
运行要求
以 stdio 本地进程方式运行，通过 npm 包 outbound-engine-mcp 安装，需要 Node.js 运行环境。未声明需要账号、API 密钥或环境变量。
安装前请注意
它不发送消息也不抓取潜在客户，只返回框架和审查结果，发送与调研仍需自行完成。输出属于方法建议，不构成法律意见，README 提醒遵守所在渠道和地区的平台规则与外联法规。README 还提到另有付费产品。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Outbound Engine Mcp，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only，通过 STDIO。 STDIO 服务会启动本地进程，因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

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

ToolWhat it returns
structure_cold_pitchHOOK / 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_messagePASS/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_ladderThe 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_replyThe next move for any reply type: price question, interested, not now, no budget, exposure offer, spec request, pay-on-performance, ghosted
build_pricing_menuThe 3-option menu (Starter / Most Popular / Full) + the two scoping questions to ask first. Drop scope, never price
detect_red_flagsScans a reply or brief for walk-away signals: exposure-pay, spec work, pay-on-performance, budget mismatch, scope creep
get_full_packThe complete engine as one payload — drop it into a Claude Project system prompt

Sample Use

typescript
// 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

来源：README.md，提交 d16a11f

工具

0
SourceWeft 尚未在沙箱中启动过该软件包，因此其工具未知。

版本历史

1
  1. v1.0.2最新Sep 16, 2026

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