MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Beschreibung vom Entwickler (englisches Original)
Evidence-gated email outreach MCP with dry-run defaults and explicit send approvals.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"outbound-os": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/recepiohq/outbound-os-mcp:0.2.1"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add outbound-os -- docker run -i --rm ghcr.io/recepiohq/outbound-os-mcp:0.2.1In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"outbound-os": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/recepiohq/outbound-os-mcp:0.2.1"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"outbound-os": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/recepiohq/outbound-os-mcp:0.2.1"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto RecepioHQ bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.2.1) kam vor 14 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Docker auf deinem Computer.
In derselben Kategorie: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
[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.
A typical outbound stack asks: How do we send more?
Outbound OS starts earlier:
A failed hard gate means STOP.
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.
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.
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
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.
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" }
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.
The public engine evaluates four evidence-backed dimensions:
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.
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.
Operational state lives outside the conversation:
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.
A verified human reply removes the organization from cold eligibility and creates or updates a deal record containing fields such as:
Time alone does not advance a deal stage.
See docs/deal-mode.md.
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.
Outbound OS includes a public-safe Zoho Mail adapter built against documented Zoho APIs.
It supports:
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.
The optional chatgpt/ package exposes the same three intents as MCP tools:
startchecksendThe MCP server binds to 127.0.0.1 by default. That is intentional: mailbox reads expose private data, and sending email c
Nur der Anfang wird gezeigt; den Rest findest du im Repo