PostHog MCP Server
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
Runs in the cloud
Outbound Engine MCP
What it does
One cold-outreach engine for any target: HOOK/BRIDGE/SOFT-ASK, follow-up ladder, reply playbook.
- Connects Runs on your computer
- Account or key No key needed
- Category Marketing & social media
Install
Pick the AI app you use, then copy the settings.
Passed 2/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Install Node.js
One time only; it works for every server that needs Node.js
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Paste these settings and save the file
{ "mcpServers": { "outbound-engine": { "command": "npx", "args": [ "-y", "outbound-engine-mcp" ] } } }Quit Claude and open it again
Try it
Use Outbound Engine MCP and tell me what you can do for me, then show me one thing✓ If Claude says it is using Outbound Engine MCP or shows a Outbound Engine MCP tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Outbound Engine MCP yet
Outbound Engine MCP runs on your computer, but ChatGPT can only connect servers that run on the web
What you can do instead
A · Use an app that can connect Outbound Engine MCP
- Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
- Install Node.js on your computer first (one time)
- Install Node.js on your computer first (one time)
- Install Node.js on your computer first (one time)
B · Others in Marketing & social media that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
- Cargo✓ ChatGPT
- Google Ads + Meta Ads + SEO/GEO MCP✓ ChatGPT
- NotFair✓ ChatGPT
Works with Claude Code, with some setup first
Install Node.js on your computer first (one time)
Install Node.js
One time only; it works for every server that needs Node.js
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Paste this command and press Enter
claude mcp add --scope user outbound-engine -- npx -y outbound-engine-mcpType /mcp in Claude Code
You should see Outbound Engine MCP listed as connected
Try it
Use Outbound Engine MCP and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Outbound Engine MCP or shows a Outbound Engine MCP tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Node.js on your computer first (one time)
Install Node.js
One time only; it works for every server that needs Node.js
Open the AI chat in Cursor in Agent mode
Try it
Use Outbound Engine MCP and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Outbound Engine MCP or shows a Outbound Engine MCP tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Node.js on your computer first (one time)
Install Node.js
One time only; it works for every server that needs Node.js
Open the AI chat in VS Code in Agent mode
Try it
Use Outbound Engine MCP and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Outbound Engine MCP or shows a Outbound Engine MCP tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
For developers: Terminal commands and JSON settings
Installed on your computer
Claude Code
claude mcp add --scope user outbound-engine -- npx -y outbound-engine-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"outbound-engine": {
"command": "npx",
"args": [
"-y",
"outbound-engine-mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"outbound-engine": {
"command": "npx",
"args": [
"-y",
"outbound-engine-mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"outbound-engine": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"outbound-engine-mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
At a glance
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Related guides
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account closermethod, which owns the repo
- ✓ Pass
Still maintained
Code last changed 4 months ago
- ✕ Fail
Has a licence
No licence file found in the repo
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Discussion
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
User reviews
No reviews yet
Compared with others in Marketing & social mediai
- More stars than 0% of the other 3837 servers in this category
- Published to the registry more recently than 16% of the other 3837 servers in this category
- Basic checks equal to or better than 55% of the other 3837 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Outbound Engine MCP safe?
It passed 2 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed 4 months ago, and the latest version (1.0.2) reached the registry 4 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: PostHog MCP Server, Openshorts, Google Ads + Meta Ads + SEO/GEO MCP
Others in the same category
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Openshorts
Turn long videos into viral vertical shorts and publish them to TikTok, Instagram and YouTube.
Runs in the cloud
Google Ads + Meta Ads + SEO/GEO MCP
Google Ads, Meta Ads, Google Analytics (GA4) & Search Console MCP server by Ryze AI
Runs in the cloud
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
| 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