One cold-outreach engine for any target: HOOK/BRIDGE/SOFT-ASK, follow-up ladder, reply playbook.
One cold-outreach engine for any target: HOOK/BRIDGE/SOFT-ASK, follow-up ladder, reply playbook. The outbound mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 7 defined tools rather than through you.
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.
Everything the assistant can do here goes through one of these:
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 typeaudit_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 abuild_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 replieshandle_reply — The next move for any reply type: price question, interested, not now, no budget, exposure offer, spec request, pay-on-performance, ghostedbuild_pricing_menu — The 3-option menu (Starter / Most Popular / Full) + the two scoping questions to ask first. Drop scope, never pricedetect_red_flags — Scans a reply or brief for walk-away signals: exposure-pay, spec work, pay-on-performance, budget mismatch, scope creepget_full_pack — The complete engine as one payload — drop it into a Claude Project system promptSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Outbound's toolset — structure_cold_pitch, audit_cold_message, build_followup_ladder and 4 more — is a fair guide to whether it matches your workflow. It is maintained by closermethod; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| 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 |
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Microsoft's official browser automation server — drive a real browser through the accessibility tree, no screenshots needed.
GitHub's official server — repos, issues, pull requests, Actions and code security, straight from your assistant.
Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
Local repository surgery — status, diffs, commits, branches and history for any repo on disk.
Timezone sanity for AI — current time anywhere and correct conversions, without the model doing date math.