MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
제작자가 쓴 설명(영어 원문)
MCP server for Walmart Connect Ads, Sam's Club Sponsored Ads, and Walmart Marketplace APIs
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"walmart-ads": {
"command": "uvx",
"args": [
"mcp-walmart-ads"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add walmart-ads -- uvx mcp-walmart-ads프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"walmart-ads": {
"command": "uvx",
"args": [
"mcp-walmart-ads"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"walmart-ads": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-walmart-ads"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 alyiox 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.5.1)은 38일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
MCP server for three Walmart Inc. API families, behind one tool surface:
| Platform | APIs | Auth |
|---|---|---|
walmart:ads — Walmart Connect | Sponsored Products, Display | RSA-SHA256 signature + bearer token |
walmart:marketplace — Walmart Marketplace | 28 domains (orders, items, feeds, reports, …) | OAuth2 client_credentials |
samsclub:ads — Sam's Club | Sponsored Products | RSA-SHA256 signature + bearer token |
Four tools over 31 apis and 424 operations — discovery, a generic proxy, and a downloader. An agent finds endpoints in the bundled OpenAPI specs and calls them; the server signs, acquires tokens, and builds headers.
walmart:ads:sponsored-products:SBAProfileUpdateV2
└─ retailer ─┘└ line ┘└─── api name ───┘└── operationId ──┘ └────────── platform ─────────┘ credentials attach here
An operation id alone resolves to a host and an auth model. A matching : suffix means the same surface for another retailer — 13 shared operation ids of 90.
Set up your config (see Configuration), then run the server:
# Run directly with uvx (no clone needed)
npx -y @modelcontextprotocol/inspector@latest uvx mcp-walmart-ads
# Or run from source
git clone https://github.com/alyiox/mcp-walmart-ads.git cd mcp-walmart-ads uv sync npx -y @modelcontextprotocol/inspector@latest uv run mcp-walmart-ads
config.json MUST live at ~/.config/mcp-walmart-ads/config.json. The server reads it once at startup, so a corrected file REQUIRES a restart.
Windows:
~maps to%USERPROFILE%(typicallyC:\Users\), making the full
path
%USERPROFILE%\.config\mcp-walmart-ads\config.json.
Create the directory and copy the example:
# Unix-like (macOS, Linux, WSL, …)
mkdir -p ~/.config/mcp-walmart-ads/keys/walmart-ads cp config.example.json ~/.config/mcp-walmart-ads/config.json
# Windows (PowerShell)
New-Item -ItemType Directory -Force "$env:USERPROFILE\.config\mcp-walmart-ads\keys\walmart-ads" Copy-Item config.example.json "$env:USERPROFILE\.config\mcp-walmart-ads\config.json"
platforms.<platform>.regions.<region>.<environment> = <auth block>
is the two-segment prefix an api id starts with, so a config key is literally the value you pass as the platform tool parameter — nothing to translate.
The auth block's shape follows the platform's auth model. There is exactly one shape per platform, so no discriminator field is needed.
Signature platforms (walmart:ads, samsclub:ads):
{
"platforms": { "walmart:ads": { "regions": { "us": { "production": { "consumer_id": "your-consumer-id", "private_key": "./keys/walmart-ads/us-prod.pem", "private_key_version": "1", "bearer_token": "your-bearer-token", "base_urls": { "sponsored-products": "https://developer.api.walmart.com/api-proxy/service/WPA/Api/v1", "display": "https://developer.api.walmart.com/api-proxy/service/display/api/v1" } } } } } } }
| Field | Notes |
|---|---|
consumer_id | Partner Network consumer ID |
private_key | Path to the RSA private key (PEM). Relative paths resolve against the config directory |
private_key_version | Key version string (default "1") |
bearer_token | OAuth bearer token |
base_urls. | One per api in the platform's discovery surface. Keys MAY be bare (sponsored-products) or fully qualified (walmart:ads:sponsored-products); extra keys are allowed for the auxiliary specs reached by raw method+path |
Environment names are free-form here — Walmart may issue a tenant only production, or production and staging.
OAuth2 platform (walmart:marketplace):
{
"platforms": { "walmart:marketplace": { "regions": { "us": { "production": { "credentials": [ { "client_id": "your-client-id", "client_secret": "your-client-secret", "advertisers": [ { "id": 7060158, "partner_id": "10001234" }, { "id": 7060159 } ] } ] } } } } } }
environment MUST be production or sandbox; base URLs are fixed by the server and absent from the file. Advertiser ids nest under the credential that serves them, so a secret appears exactly once and a dangling advertiser reference is structurally impossible. partner_id is per-seller because two payments operations require it as WM_PARTNER_ID; an all-zero value reads as absent, since that is what a generated config writes for a seller without one, and scripts/backfill_partner_ids.py fills the gaps from Walmart.
Regions are a namespace, not a route — every walmart:marketplace region reaches the same hosts. The level exists because advertiser ids are unique only within a region.
A populated walmart:marketplace block runs to tens of kilobytes of credentials, 88% of the file here, and a stray comma while editing it takes down every platform: a parse failure precedes per-platform validation. Platforms MAY therefore live in drop-in files under config.d/, merged over the base:
~/.config/mcp-walmart-ads/
├── config.json # server-wide settings, and any platforms you like ├── config.d/ │ ├── walmart-marketplace.json # only a "platforms" object │ └── samsclub-ads.json └── keys/
platforms; server-wide settings stay in config.json.*.json directly in config.d/ is read, so .bak and editor swap files are ignored.private_key paths resolve against config.json's directory either way, so moving a platform into config.d/ needs no path edits.config.d/ directory means no change in behavior.A malformed block for one platform MUST NOT stop the others loading. Read wmt://platforms to see which loaded and what regions and environments they declare: one that failed has no regions, and reading one of its environments returns the loader's own message — which file, which fields, and that a fix needs a restart.
| Field | Default | Notes |
|---|---|---|
response_cache_ttl | 3600 | Seconds a truncated body or download stays readable at its resource URI |
truncate_threshold | 2048 | Response bytes returned inline before truncating to a preview |
spec_refresh | {"auto": true, "interval": 7} | Background spec refresh. auto turns the sweep on or off; interval is days between sweeps, and MAY be fractional |
wap-tenant-id)Pass tenant on call_endpoint and download_file for non-US walmart:ads markets (WMT_CA, WMT_MX, WBD_OD, …). Omit it for US and for walmart:marketplace.
list_endpointsList operations across every api, with optional filters.
| Parameter | Notes |
|---|---|
query | Case-insensitive substring on operation id, path, or summary |
api | Limit to one api, e.g. walmart:marketplace:order-management |
platform | Limit to one platform — walmart:ads, walmart:marketplace, samsclub:ads (schema enum) |
tag | Filter by OpenAPI tag |
method | Filter by HTTP verb — GET, POST, PUT, PATCH, DELETE (schema enum) |
Returned operation ids are qualified (api:operationId) and pass straight to describe_endpoint or call_endpoint.
describe_endpointOne operation plus every components.schemas entry reachable from it, so a request body can be built without the full spec. Server-managed auth and QoS headers are omitted.
| Parameter | Notes |
|---|---|
operation_id | Qualified (api:operationId), or bare when unambiguous |
api | Api to resolve a bare id in, e.g. walmart:ads:sponsored-products |
call_endpointExecute an authenticated request against any configured platform. Signing, token acquisition with per-credential caching and single-flight refresh, and one retry after a 401 all happen server-side.
| Parameter | Notes |
|---|---|
region, environment | Required. Src: config |
operation_id | Qualified or bare. Resolves api, platform, method, path, and required headers |
api | Required with raw method + path; otherwise inferred from operation_id. Accepts the two auxiliary walmart:ads specs |
method, path | Raw route, reaching alpha/beta/unpublished endpoints absent from the specs |
path_params | Values for {placeholders} in the path |
params, body | Query string and JSON body |
file_path | Send the file as multipart/form-data — Marketplace feed uploads. Pair with the feedType query parameter |
advertiser_id | MUST be given on `walmart:marketplace`, where it selects the credential. Optional on the ads platforms, where it is sent as X-Advertiser-ID |
tenant | WAP tenant for non-US walmart:ads regions |
A response larger than truncate_threshold is previewed inline, with the full body at wmt://responses/{request_id} and a reproducible cURL at wmt://curl/{request_id} — bearer tokens, access tokens, and signatures replaced with placeholders.
download_fileDownload a report, label, or snapshot from an authenticated endpoint. Give a full url (the details URL from a display snapshot poll, say), or operation_id, or api with method + path. platform is required only for a bare url.
With dest_path the bytes are written there. Without it they are gunzipped when gzipped and cached, and the result carries cached_at — a binary payload with no dest_path asks for one instead. Redirects are followed, keeping auth headers on a relative or same-host Location and dropping credentials cross-host; the result includes urls, the hop path.
33 OpenAPI documents ship in the wheel. A refresh writes updated copies to ~/.cache/mcp-walmart-ads/specs/, which outranks the bundle on read. The bundle is never written at runtime, so it stays the floor a damaged or missing cache falls back to.
Walmart publishes no OpenAPI files, but each ReadMe reference page hydrates its HTML with the registry UUIDs of its documents, and https://dash.readme.com/api/v1/api-registry/ serves the full spec unauthenticated. That covers Walmart Connect and all 28 Marketplace domains. Sam's Club publishes neither, so its spec is hand-authored from the developer docs: scripts/build_samsclub_spec.py regenerates a *candidate* from those docs, and the scheduled spec drift workflow opens a PR when they change,
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요