MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Descripción del creador (original en inglés)
BYOK Reddit/YouTube research CLI with a tamper-evident audit log and an MCP server.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"auditreach": {
"command": "uvx",
"args": [
"auditreach-cli",
"auditreach",
"mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add auditreach -- uvx auditreach-cli auditreach mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"auditreach": {
"command": "uvx",
"args": [
"auditreach-cli",
"auditreach",
"mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"auditreach": {
"type": "stdio",
"command": "uvx",
"args": [
"auditreach-cli",
"auditreach",
"mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub RudrenduPaul, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.2.5) llegó al registro hace 3 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Install • What it does • Getting started • Commands • Security • FAQ
Research Reddit and YouTube from your AI agent using only official APIs, your own keys, and a log that proves exactly what you queried and why it was allowed.
auditreach ships as two independent, equally first-class packages: an npm package (this repo, JavaScript/TypeScript) and a PyPI package (python/, Python). Both implement the same hash-chain algorithm and BYOK model against the same official Reddit/YouTube APIs. Pick whichever fits your toolchain, or install both.
npm:
npx auditreach-cli search --platform reddit --query "your query"
Or install it globally:
npm install -g auditreach-cli
auditreach search --platform reddit --query "your query"
pip:
pip install auditreach-cli
auditreach search --platform reddit --query "your query"
See python/README.md for Python-specific usage, including this distribution's added env-var BYOK credential path (useful for headless CI/agent sandboxes) -- the npm package stores credentials in the OS keychain only.
Building from source works the same way, if you want to read or modify the code first:
git clone https://github.com/RudrenduPaul/auditreach.git
cd auditreach npm install npm run build node dist/cli.js search --platform reddit --query "your query"
node dist/cli.js search --platform reddit --query "agent memory poisoning" --subreddit MachineLearning
AuditReach -- Official-API Research CLI Platform: Reddit | Auth: OAuth script-app grant, read-only, public-subreddit scope
Fetching... (official API, rate-limit aware) ✓ 14 results returned (Reddit API Terms -- public content, official API, read-only script-app credentials)
RESULTS (14) [1] "How are people testing for memory poisoning in long-running agents?" u/some_researcher · 2026-07-05T14:22:00.000Z https://reddit.com/r/MachineLearning/comments/... ...
Audit log entry written: ar_2026-07-12_9f3c2a Consent basis: Reddit API Terms -- public content, official API, read-only script-app credentials Full results: ./auditreach-results-2026-07-12.json Full audit trail: ./auditreach.log.jsonl
Every entry in auditreach.log.jsonl is hash-chained -- each entry's hash is computed from its own content, and the next entry references it. Editing, deleting, or reordering an entry breaks the chain:
$ node dist/cli.js verify-log Verifying ./auditreach.log.jsonl... ✓ Chain intact: 14 entries, no gaps, no tampering detected.
$ node dist/cli.js verify-log Verifying ./auditreach.log.jsonl... ✗ Chain broken at entry 3 (ar_2026-07-12_9f3c2a): entry ar_2026-07-12_9f3c2a hash does not match its own content -- entry was edited after being written
| auditreach | Agent-Reach | snoowrap | |
|---|---|---|---|
| Access model | Official API only, BYO-key | Cookie/session import, "zero API fees" | Official API, BYO-key |
| Platform coverage | Reddit, YouTube | Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu | Reddit only |
| Consent/audit log | Hash-chained, per-query, local | None | None |
| Maintenance status | Active (this release) | Active, 65k+ stars | Archived since Feb 2023 |
| License | Apache 2.0 | MIT | MIT |
| Runtime deps (Reddit client) | 0 -- native fetch | n/a (Python, browser-session based) | request, request-promise, ws (all deprecated) |
Numbers measured directly against each repo's public GitHub metadata and, for the dependency comparison, against snoowrap's own published package.json as of this writing -- reproducible by anyone with gh api repos/ / .
We started building auditreach's Reddit client on top of snoowrap, the most-used Reddit API wrapper in the Node ecosystem. Installing it pulls in request, request-promise, form-data, and har-validator -- a dependency chain that currently carries 2 CRITICAL, 2 HIGH, and 5 moderate severity advisories (9 total, per npm audit), none of which snoowrap can fix because the project has been archived since 2023. We rewrote the Reddit client as a direct fetch-based OAuth2 client against Reddit's own documented REST endpoints instead: same functionality, none of those CVEs, zero extra runtime dependencies for that client. See Security for auditreach's own current npm audit status.
A consultancy we talked to had an AI research agent pulling social sentiment for a client report. It worked well until the client's legal team asked, in writing, what authority the data collection was under. The honest answer was "a browser cookie session," because the tool they were using authenticates by importing a logged-in session and scraping as if it were a real user. That works. It is also not an answer you can put in a compliance memo, and it is the exact pattern Reddit sued Anthropic and SerpApi over in 2025, and the same pattern that got Pushshift's public API access shut down by Reddit back in 2024.
Agent-Reach is not a bad tool. It has real traction (65k+ stars) because cookie-based scraping genuinely covers more ground than any official API does today, at zero API cost. But "covers more ground" and "an agency's client can pass a compliance review" are two different bars, and nothing was built specifically to clear the second one.
auditreach is the CLI we wished existed instead. It talks to Reddit and YouTube only through their official, documented APIs, using your own API keys -- never a shared pool -- and every single query writes a hash-chained entry to a local audit log: which platform, which endpoint, which scope, and a plain-language line explaining the consent/ToS basis for that specific call. No cookie import. No session-token reuse. No code path that could even pretend to be a logged-in human.
We are not trying to out-cover Agent-Reach's six platforms. auditreach is narrower on purpose, for the buyer who structurally can't use a cookie-based tool at all.
1. Install: see Install above -- npx auditreach-cli, npm install -g auditreach-cli, or clone and build from source.
2. Set up credentials for the platform you want to search (BYO-key -- your own, never ours):
node dist/cli.js auth --platform reddit
node dist/cli.js auth --platform youtube
All credentials are stored in your OS keychain (@napi-rs/keyring), never in a config file, never transmitted anywhere except the platform's own official auth endpoint. Once credentials are set, verify them without running a real search:
node dist/cli.js auth --platform reddit --verify
3. Search:
node dist/cli.js search --platform reddit --query "your query" --subreddit some_subreddit node dist/cli.js search --platform youtube --query "your query" --channel @SomeChannel
Honest note on setup time: getting your own API credentials from Reddit and Google takes a few minutes the first time -- this is slower than Agent-Reach's cookie-import flow (which just reuses a browser session you already have) by design. BYOK means the setup cost is real, not hidden.
auditreach has four subcommands. Every flag below is pulled directly from the CLI's own --help output, not from memory of what it used to support.
auditreach searchSearch a platform using its official API only.
| Flag | Description | |
|---|---|---|
--platform | reddit \ | youtube (required) |
--query | search query (required) | |
--subreddit | restrict search to one subreddit (Reddit only) | |
--channel | restrict search to one channel, e.g. @AnthropicAI (YouTube only) | |
--since | only results published after this date, e.g. 2026-06-01 (YouTube only) | |
--max-results | maximum results to return (default: 25; platform caps: 100 Reddit / 50 YouTube) | |
--before | page results before this Reddit fullname cursor, e.g. t3_abc123 (Reddit only) | |
--after | page results after this Reddit fullname cursor, e.g. t3_abc123 (Reddit only) | |
--output | write full results JSON to this path | |
--json | print structured JSON to stdout instead of human-readable output, for scripts and agent callers |
node dist/cli.js search --platform reddit --query "agent memory poisoning" --subreddit MachineLearning --max-results 50 node dist/cli.js search --platform reddit --query "agent memory poisoning" --json | jq '.results | length'
auditreach authSet up, verify, or clear BYOK credentials for a platform (stored in your OS keychain).
| Flag | Description |
|---|
| --platform | reddit \| youtube (required)
Solo se muestra el principio; lee el resto en el repo