MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Descripción del creador (original en inglés)
Read-only MCP server for the OpenAI Ads API: campaigns, ad groups, ads, and insights.
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.
OPENAI_ADS_API_KEYLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
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": {
"openai-ads": {
"command": "npx",
"args": [
"-y",
"@hypd-ai/openai-ads-mcp"
],
"env": {
"OPENAI_ADS_API_KEY": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add openai-ads --env OPENAI_ADS_API_KEY=your-value -- npx -y @hypd-ai/openai-ads-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"openai-ads": {
"command": "npx",
"args": [
"-y",
"@hypd-ai/openai-ads-mcp"
],
"env": {
"OPENAI_ADS_API_KEY": "your-value"
}
}
}
}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": {
"openai-ads": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@hypd-ai/openai-ads-mcp"
],
"env": {
"OPENAI_ADS_API_KEY": "your-value"
}
}
}
}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 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub HYPD-AI, 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.
Debes completar: OPENAI_ADS_API_KEY
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 (0.1.3) llegó al registro hace 5 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js 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:↓ Descargas por semanai★ 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.
A Model Context Protocol (MCP) server for the OpenAI Ads (Advertiser) API. It lets MCP-compatible clients — Claude Desktop, Cursor, VS Code, and others — read your OpenAI Ads campaigns, ad groups, ads, and performance insights through natural language.
Read-only. This first release only reads data — it never creates, edits, or pauses anything and never spends budget. Write actions are on the roadmap.
Unofficial. This is a community project and is not affiliated with or endorsed by OpenAI. See the disclaimer.
The OpenAI Ads API exposes an advertiser's account, campaigns, ad groups, ads, and reporting. This server wraps the read endpoints of that API as MCP tools so an AI assistant can answer questions like:
cmp_123 over the last 30 days, by day."_adg_456 are still pending review?"_limit, order, after, before).npx — npx -y @hypd-ai/openai-ads-mcp, no clone or build.| Tool | What it does |
|---|---|
get_ad_account | Fetch the ad account for the configured key. Great as a connectivity check. |
list_campaigns | List campaigns (objective, budget, country targeting). |
get_campaign | Fetch a single campaign by ID. |
list_ad_groups | List ad groups, optionally filtered by campaign. |
get_ad_group | Fetch a single ad group by ID (bidding config, context hints). |
list_ads | List ads, optionally filtered by ad group. |
get_ad | Fetch a single ad by ID (creative + review status). |
get_account_insights | Performance insights for the whole account. |
get_campaign_insights | Performance insights for one campaign. |
get_ad_group_insights | Performance insights for one ad group. |
get_ad_insights | Performance insights for one ad. |
Insights tools accept since/until (YYYY-MM-DD) for the reporting window, plus time_granularity (daily/none), aggregation_level, fields, sort, filters, limit (1–10000), and after/before cursors.
MCP clients launch the server as a subprocess and pass your API key via an environment variable.
Published on npm as
@hypd-ai/openai-ads-mcp—npxfetches it for you, so there's nothing to clone or build. To run the latest unreleasedmaininstead, replace@hypd-ai/openai-ads-mcpwithgithub:HYPD-AI/openai-ads-mcp(its first launch builds from source — see Running from source).
Add the snippet for your client below.
Edit your claude_desktop_config.json:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json{
"mcpServers": { "openai-ads": { "command": "npx", "args": ["-y", "@hypd-ai/openai-ads-mcp"], "env": { "OPENAI_ADS_API_KEY": "your-openai-ads-api-key" } } } }
Restart Claude Desktop, then ask: _"Use the openai-ads tools to look up my ad account."_
Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per-project):
{
"mcpServers": { "openai-ads": { "command": "npx", "args": ["-y", "@hypd-ai/openai-ads-mcp"], "env": { "OPENAI_ADS_API_KEY": "your-openai-ads-api-key" } } } }
Add to .vscode/mcp.json. VS Code can prompt for the key and store it as a secret via inputs:
{
"inputs": [ { "type": "promptString", "id": "openai_ads_api_key", "description": "OpenAI Ads API key", "password": true } ], "servers": { "openai-ads": { "command": "npx", "args": ["-y", "@hypd-ai/openai-ads-mcp"], "env": { "OPENAI_ADS_API_KEY": "${input:openai_ads_api_key}" } } } }
Any client that speaks MCP over stdio works. Run npx -y @hypd-ai/openai-ads-mcp (or node /path/to/dist/index.js) with OPENAI_ADS_API_KEY set in the environment.
| Variable | Required | Default | Description |
|---|---|---|---|
OPENAI_ADS_API_KEY | Yes | — | Your OpenAI Ads API key, sent as a Bearer token. |
OPENAI_ADS_BASE_URL | No | https://api.ads.openai.com/v1 | Override the API base URL (useful for testing or a proxy). |
See .env.example.
Fields whose names end in `_micros` — for example a campaign's lifetime_spend_limit_micros or an ad group's max_bid_micros — are expressed in micros:
1,000,000 micros = 1 unit of the account's currency (e.g. $1.00 = 1,000,000 micros)
So a lifetime_spend_limit_micros of 25000000 is $25.00. Divide a _micros value by 1,000,000 to display a human amount, or multiply by 1,000,000 to convert the other way.
Insights metrics are not micros. Reporting values like
spend,cpc, andcpmare already in the account's currency as decimals (e.g.spend: 42.75means $42.75).
This release registers only read (`GET`) tools — and each one is annotated with the MCP readOnlyHint, so well-behaved clients know it cannot mutate state. There is no tool here that can create, edit, pause, or delete anything, and nothing that can spend budget. Write actions will arrive as a deliberate, separately reviewed step (see Roadmap).
git clone https://github.com/hypd-ai/openai-ads-mcp.git
cd openai-ads-mcp npm install npm run build
Then point your MCP client at the built entry file:
{
"mcpServers": { "openai-ads": { "command": "node", "args": ["/absolute/path/to/openai-ads-mcp/dist/index.js"], "env": { "OPENAI_ADS_API_KEY": "your-openai-ads-api-key" } } } }
OPENAI_ADS_API_KEY=your-key npx @modelcontextprotocol/inspector node dist/index.js
npm install # install dependencies
npm run dev # rebuild on change (tsup --watch) npm run typecheck # tsc --noEmit npm run lint # eslint npm run format # prettier --write npm test # vitest npm run build # bundle to dist/
Project layout:
src/
index.ts # bin entry: load config, build server, connect stdio server.ts # buildServer(): McpServer + register all tools client.ts # OpenAIAdsClient: auth, URL building, errors config.ts # environment parsing & validation schemas.ts # shared zod shapes (pagination, insights) + micros note tools/ # one file per resource (account, campaigns, ad-groups, ads, insights) test/ # vitest specs (config, client, in-memory server)
All endpoints are under the base URL (default https://api.ads.openai.com/v1).
| Tool | Method | Endpoint |
|---|---|---|
get_ad_account | GET | /ad_account |
list_campaigns | GET | /campaigns |
get_campaign | GET | /campaigns/{campaign_id} |
list_ad_groups | GET | /ad_groups |
get_ad_group | GET | /ad_groups/{ad_group_id} |
list_ads | GET | /ads |
get_ad | GET | /ads/{ad_id} |
get_account_insights | GET | /ad_account/insights |
get_campaign_insights | GET | /campaigns/{campaign_id}/insights |
get_ad_group_insights | GET | /ad_groups/{ad_group_id}/insights |
get_ad_insights | GET | /ads/{ad_id}/insights |
POST) campaigns, ad groups, and ads, plus the dedicated state transitions (POST .../activate, .../pause, .../archive). The HTTP client already supports POST; these will be gated behind an explicit opt-in, since they change delivery and spend.POST /upload (JSON image_url or multipart/form-data) to attach images to ad creatives.targeting.locations.countries).npx -y openai-ads-mcp works out of the box.Contributions are welcome! Please read CONTRIBUTING.md. In short: open an issue to discuss substantial changes, keep npm run lint && npm run typecheck && npm test green, and add tests for new behavior.
This is an unofficial, community-built project. It is not affiliated with, endorsed by, or sponsored by OpenAI. "OpenAI" and related names and logos are trademarks of OpenAI. Your use of the OpenAI Ads API through this tool is subject to OpenAI's terms and policies. The tool is provided "as is", without warranty of any kind — see the license.
MIT © HYPD AI