Outbound OS
Overview
Description from the maker (original English)
Evidence-gated email outreach MCP with dry-run defaults and explicit send approvals.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: Streamable HTTP
- Category: Marketing & social media
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- DockerDocker installed
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"outbound-os": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/recepiohq/outbound-os-mcp:0.2.1"
]
}
}
}Run this in your terminal
claude mcp add outbound-os -- docker run -i --rm ghcr.io/recepiohq/outbound-os-mcp:0.2.1Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"outbound-os": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/recepiohq/outbound-os-mcp:0.2.1"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"outbound-os": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/recepiohq/outbound-os-mcp:0.2.1"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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 9, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account RecepioHQ, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – 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
Compared with others in Marketing & social mediai
- More stars than 0% of the other 3621 servers in this category
- Published to the registry more recently than 68% of the other 3621 servers in this category
- Basic checks equal to or better than 100% of the other 3621 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 OS safe?
It passed 1 of 1 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 –, and the latest version (0.2.1) reached the registry 15 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
What can I use instead?
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Alternatives
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
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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 OS
[Try the interactive policy demo — no installation or signup](https://recepiohq.github.io/outbound-os/)
Official MCP Registry: Outbound OS — active listing (v0.2.1). Public OCI package: ghcr.io/recepiohq/outbound-os-mcp:0.2.1. The MCP server is designed for local operation and has no built-in authentication; never publish its HTTP port to the public Internet.
Use it in an AI coding client: Docker + Claude Code / Cursor MCP quickstart — local-only, no mailbox credentials, three actual MCP tools available for inspection.
Change synthetic buyer, mailbox, evidence, duplicate, and approval conditions in your browser. The interface executes the same deterministic gate and draft-preflight modules as the CLI; it makes no outbound API calls and sends no email. A PASS in this demo is *not* authorization to send a real message. Use Copy scenario link to share the exact synthetic inputs and verdict with another developer; the link never contains real addresses or message data.
*Screenshot from the real browser demo, with synthetic fixtures only.*
Most AI outbound tools optimize for sending more. Outbound OS is built to know when not to send.
Start.
Check. Send.
Those are operator intents, not bypass commands.
Every outbound action still has to pass Buyer Selection, evidence checks, mailbox verification, dedupe, factual preflight, commercial review, deliverability/rate controls, explicit authorization, and an exact approval hash.
Outbound OS is a free, MIT-licensed reference implementation of a decision-gated outbound workflow. It is inspired by the workflow used in the private Zoho MCP operation, but this repository contains no private campaign data, deal state, credentials, or Git history from that project.
Why this exists
A typical outbound stack asks: How do we send more?
Outbound OS starts earlier:
- Is this organization worth contacting?
- Is the evidence strong enough to justify outreach?
- Is the route and mailbox verified?
- Have we contacted the organization already?
- Is every personalized claim supportable?
- Is the exact message still the one that was reviewed and approved?
- Is deliverability healthy enough to send now?
- Did a human reply, making this a deal instead of a cold lead?
A failed hard gate means STOP.
One-command CLI demo — no global installation
Requires Node.js 22+ and npm. This installs the MIT-licensed release archive into npm's temporary cache (not the global package directory) and executes a synthetic comparison of an allowed and a blocked send:
npm exec --yes --package=https://github.com/RecepioHQ/outbound-os/releases/download/v0.2.1/outbound-os-0.2.1.tgz -- outbound-os demo --compare
This exact command was tested on Windows with Node.js 22/npm 10: it returned PASS for the allowed scenario, BLOCK for an unverified mailbox, blocked.transport_calls=0, and live_sent=false. It downloads the package over HTTPS; it does not connect to a real mailbox or transmit an email.
Prefer the live browser demo if you do not have Node.js installed.
Run as an installable CLI
Optional global install from the verified v0.2.1 release
Requirements: Node.js 22+ and npm. This downloads an MIT-licensed archive attached to the official v0.2.1 GitHub Release, not an npm-registry package.
npm install --global https://github.com/RecepioHQ/outbound-os/releases/download/v0.2.1/outbound-os-0.2.1.tgz
outbound-os demo --json
Verification: The published v0.2.1 GitHub Release and its attached archive were tested on Windows; the installed CLI passed its synthetic comparison. For integrity-sensitive use, verify the archive checksum against the release notes before installing.
No email is sent in the demo. Live sending remains off by default and every real send requires approved context and hard-gate checks.
Node.js 22+ and Git are required. The source is MIT licensed. No mailbox credentials, ChatGPT account, or API keys are needed for the offline demo.
Try from source (recommended first run)
git clone https://github.com/RecepioHQ/outbound-os.git
cd outbound-os npm ci node bin/outbound-os.js --help node bin/outbound-os.js demo --json
Optional global command from a local package archive
npm pack
npm install --global ./outbound-os-0.2.1.tgz outbound-os demo --json
The .tgz is built locally from the checked-out source and should be reviewed before installation. On Windows, use PowerShell with the same commands (or replace ./ with .\\). The archive-install path is verified on Windows with an isolated npm prefix. The project is not claiming publication on the npm registry.
Do not use `npm install -g github:RecepioHQ/outbound-os` as a recommended path: on one verified Windows/npm 10 installation it produced a dangling junction into npm's temporary Git clone. The packed archive avoids that observed issue.
The demo uses reserved example domains, a mock mailbox and a dry-run transport: no real emails are sent. For real operations, follow provider configuration and security requirements. The start, check and send commands still invoke the existing state, verification and hard-gate code; installing the CLI grants no permission to bypass them.
60-second demo
Compare a permitted dry run with a blocked attempt
The comparison uses real gate evaluation against synthetic fixtures and mock transports. One message satisfies the checks, while a second message has an unknown mailbox verification result and must be blocked before the transport is called.
# In a checkout of the latest source:
npm ci node bin/outbound-os.js demo --compare
The output includes allowed.send_decision=PASS, blocked.send_decision=BLOCK, a reason from the mailbox_verification gate, and blocked.transport_calls=0. These are synthetic checks, not claims that any real mailbox was verified or any live email was sent.
Requirements: Node.js 22+.
npm install
npm test npm run demo
The demo is entirely synthetic and makes no network calls. It walks through:
Synthetic buyer
↓ Buyer Selection → READY ↓ Verified evidence + mailbox + dedupe + review gates ↓ Dry-run send → SIMULATED (not a live send) ↓ Synthetic human reply ↓ Cold eligibility stops ↓ Deal Mode → engaged
Example output:
{
"buyer_state": "READY", "send_decision": "PASS", "transport_status": "simulated", "live_sent": false, "cold_eligible_after_reply": false, "deal_stage": "engaged" }
Architecture
flowchart TD
A[Operator: CLI or ChatGPT/MCP] --> B{Intent} B -->|Start| C[Task / Skill Router] B -->|Check| D[Mailbox Reconciliation] B -->|Send| E[Hard Gate Engine]
C --> F[Buyer Research] F --> G[Buyer Selection] G --> H[(Persistent State + Event Ledger)]
D --> I[Reply / Delivery Classifier] I --> H I -->|Verified human reply| J[Deal Mode] J --> H
E --> K[Evidence + Contact Route] K --> L[Mailbox Verification] L --> M[Dedupe] M --> N[Factual Preflight] N --> O[Commercial Review] O --> P[Deliverability / Rate / Cap] P --> Q[Authorization + Approval Hash] Q -->|PASS| R[Transport] R -->|default| S[Dry Run] R -->|explicit live opt-in| T[Zoho Adapter]
The model can recommend work, but it cannot override the mechanical gate engine beneath it.
Buyer Selection
The public engine evaluates four evidence-backed dimensions:
- Strategic fit — is there a credible reason the organization should care?
- Commercial-capacity evidence — is there attributable evidence that outreach is commercially justified?
- Decision access — is there a credible route to an appropriate decision maker or official channel?
- Trigger / timing evidence — is there a reason the outreach is timely?
Evidence is explicitly classified as VERIFIED, INFERRED, or UNKNOWN.
UNKNOWN never becomes a positive score just because the system needs more volume.
Results are READY, HOLD, or SKIP, with inspectable reasons.
See docs/buyer-selection.md.
Hard gates
The default send chain is fail-closed:
| Gate | Failure behavior |
|---|---|
| Buyer Selection | HOLD / BLOCK |
| Evidence quality | BLOCK |
| Contact route | BLOCK |
| Mailbox verification | BLOCK |
| Organization/contact dedupe | BLOCK |
| Factual personalization | BLOCK |
| Preflight | BLOCK |
| Commercial review | BLOCK |
| Deliverability health | BLOCK |
| Rate / volume cap | BLOCK |
| Explicit authorization | HOLD |
| Exact approval hash | BLOCK |
Strict mailbox verification passes only valid. invalid, catch_all, unknown, and error are blocked by default.
Changing the recipient, subject, plain-text body, or HTML after approval invalidates the approval hash.
See docs/hard-gates.md.
Persistent state — not chat memory
Operational state lives outside the conversation:
- append-only JSONL lifecycle ledger;
- derived JSON state projection written atomically;
- organization-level and contact-level dedupe;
- persistent Deal Mode state after a human reply.
By default runtime state is stored under state/, which is excluded from Git. You can override it with OUTBOUND_OS_DATA_DIR.
A new ChatGPT/MCP session can reload the same state instead of reconstructing a deal from conversational memory.
See docs/state-and-ledger.md.
Deal Mode
A verified human reply removes the organization from cold eligibility and creates or updates a deal record containing fields such as:
- latest human reply;
- stage;
- verified facts;
- inferred context;
- unknowns;
- objections;
- pricing context;
- commitments;
- next justified action.
Time alone does not advance a deal stage.
See docs/deal-mode.md.
Skills
The repository separates task discipline instead of relying on one catch-all prompt:
buyer-research— attributable evidence, no invented authority/budget/intent;cold-outreach— verified facts plus all outbound gates;delivery-recovery— permanent-vs-temporary delivery handling;engaged-deal— human-reply workflow and deal context.
The skills guide behavior. They do not bypass the mechanical rules in code.
Zoho Mail adapter
Outbound OS includes a public-safe Zoho Mail adapter built against documented Zoho APIs.
It supports:
- OAuth refresh-token exchange;
- mailbox reads with limited retry on clearly transient read failures;
- conservative normalization of known-contact human replies, common auto-replies, permanent delivery failures, and temporary delays;
- exact approved-message sending;
- no blind retry after an ambiguous send mutation;
- post-send reconciliation by returned message ID.
Unmatched inbox mail is ignored rather than being promoted into a deal.
Live sending is disabled unless all required provider configuration is present and:
OUTBOUND_OS_LIVE_SEND=1
See .env.example and docs/provider-adapters.md.
ChatGPT / MCP
The optional chatgpt/ package exposes the same three intents as MCP tools:
startchecksend
The MCP server binds to 127.0.0.1 by default. That is intentional: mailbox reads expose private data, and sending email c
Only the beginning is shown; read the rest in the repo