MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Schedule, publish, and review social posts and analytics for a Markaestro brand.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
MARKAESTRO_API_KEY, MARKAESTRO_READ_ONLYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://markaestro.com/api/public/v1/mcpOpen Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"markaestro": {
"command": "npx",
"args": [
"-y",
"@markaestro/mcp"
],
"env": {
"MARKAESTRO_API_KEY": "your-value",
"MARKAESTRO_READ_ONLY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add --transport http markaestro https://markaestro.com/api/public/v1/mcpclaude mcp add markaestro --env MARKAESTRO_API_KEY=your-value --env MARKAESTRO_READ_ONLY=your-value -- npx -y @markaestro/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"markaestro": {
"url": "https://markaestro.com/api/public/v1/mcp"
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"markaestro": {
"command": "npx",
"args": [
"-y",
"@markaestro/mcp"
],
"env": {
"MARKAESTRO_API_KEY": "your-value",
"MARKAESTRO_READ_ONLY": "your-value"
}
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"markaestro": {
"type": "http",
"url": "https://markaestro.com/api/public/v1/mcp"
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"markaestro": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@markaestro/mcp"
],
"env": {
"MARKAESTRO_API_KEY": "your-value",
"MARKAESTRO_READ_ONLY": "your-value"
}
}
}
}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.
ChatGPT connects only to servers on the internet:
https://markaestro.com/api/public/v1/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
MARKAESTRO_READ_ONLY envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
The server asks you to sign in before it lists its tools.
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 6, 2026
The registry name was verified against the domain markaestro.com (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 321 ms (HTTP 401)
Declares OAuth sign-in, so your AI app can take you to log in
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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.
You need to fill in: MARKAESTRO_API_KEY
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (0.4.0) reached the registry 2 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
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.
A Model Context Protocol server that lets AI agents (Claude Code, Claude, Cursor, ChatGPT, Grok, Grok Bot, OpenClaw, Hermes, and any other MCP client) schedule, publish, and review Markaestro posts through the public API. Exact connection steps per client are on https://markaestro.com/developers/agents (?client=cursor, chatgpt, grok, grok-bot, openclaw, hermes, or headless opens that tab).
Every key covers either one brand or every brand in its workspace, chosen when the key is created or at the sign-in consent. A single-brand key works on that brand alone. An all-brands key sees every brand: list_products returns them all, and the agent passes productId to create_post, create_posts, list_posts, and create_evergreen_queue, and to the analytics tools to report on one brand instead of the whole workspace.
| Tool | What it does |
|---|---|
list_products | The brands this key can act on (one, or all in the workspace) and their connected channels |
list_destinations | Publishable destinations of the brand (pages, accounts) with ids |
get_brand_profile | A brand's description, voice, and visual identity (read-only) |
list_posts, get_post | Read posts by status, page through with cursor |
create_post | Save a draft, or schedule when scheduledAt is set |
update_post | Edit a draft or scheduled post: caption, media, one channel's settings, or its time |
publish_post | Queue an immediate publish; returns a job run |
mark_post_posted | Record that a person posted a manual-reminder or TikTok-inbox post |
delete_post | Delete a draft, or cancel a post before it reaches any platform; published posts are refused |
bulk_posts | Reschedule or restatus up to 25 posts |
create_posts | Up to 25 posts in one call, per-item results |
upload_media | Upload from a file path, URL, or data URL; returns the asset id |
list_media, get_media | Uploaded assets, processing state, reference counts |
get_analytics | Brand performance over a window: totals, channels, daily series, top posts, heatmap, insights. Covers posts published through Markaestro and posts published directly on the platform |
list_post_analytics | Every post in the window with its latest metrics and source, sortable by views, reach, engagements, or engagement rate |
get_post_analytics_history | The 1h to 90d metric snapshots of one post, with growth between stages |
refresh_analytics | Pull live metrics from the platforms now (a few calls a minute) |
suggest_post_times | The brand's best posting windows, learned from its own history |
get_job_run, list_job_runs | Follow a publish to succeeded or failed |
get_channel_rules | Per-channel media, caption, and delivery-mode rules |
get_tiktok_posting_options | The TikTok creator's live privacy levels and interaction options, needed for a Direct Post |
The Evergreen tools (preview_, create_, get_, list_, update_, activate_, pause_, and resume_evergreen_queue, list_evergreen_runs, get_evergreen_analytics) manage proven recurring content.
Agents manage social media and nothing else: account settings, billing, team, API keys, webhooks, and channel connections are not exposed, and no tool deletes a published post, takes one down from a platform, or archives an Evergreen queue. Those stay with the user in Markaestro. The same rule holds at the REST layer for a key issued through the agent sign-in: it cannot remove a published post, take one down from a platform, or manage webhooks (FORBIDDEN_AGENT_CONNECTION). A key a person mints in Settings keeps the full REST surface its scopes allow.
Also served: the markaestro://channel-rules resource and a schedule_post prompt that walks an agent through a safe scheduling flow.
Posting is draft-first. create_post without scheduledAt never publishes; publish_post is the only tool that publishes now, and its description tells the agent to confirm with the user first.
Hosted (nothing to install, nothing to paste). Markaestro serves the same tools over Streamable HTTP at https://markaestro.com/api/public/v1/mcp. Add it with no credentials and the first tool call opens the browser: sign in, pick the workspace and brand, click Allow. The client receives an API key bound to that brand and refreshes it on its own.
claude mcp add --transport http markaestro https://markaestro.com/api/public/v1/mcp
This is standard OAuth 2.1 (PKCE, dynamic client registration, discovery at /.well-known/oauth-protected-resource and /.well-known/oauth-authorization-server), so claude.ai, Cursor, and other MCP clients connect the same way. Connected agents are listed and revoked in Settings, API.
For headless or CI use, pass a workspace API key as a bearer header instead:
claude mcp add --transport http markaestro https://markaestro.com/api/public/v1/mcp \
--header "Authorization: Bearer mk_live_..."
{
"mcpServers": { "markaestro": { "type": "http", "url": "https://markaestro.com/api/public/v1/mcp", "headers": { "Authorization": "Bearer mk_live_..." } } } }
Send x-markaestro-read-only: 1 as an extra header to get only the reading tools.
Local package. Run the server on your machine over stdio, which also lets upload_media read local files:
products.read, posts.read, posts.write, media.write, and posts.publish if it may publish), and prefer a test key while you evaluate.MARKAESTRO_API_KEY.claude mcp add markaestro -e MARKAESTRO_API_KEY=mk_live_... -- npx -y @markaestro/mcp
{
"mcpServers": { "markaestro": { "command": "npx", "args": ["-y", "@markaestro/mcp"], "env": { "MARKAESTRO_API_KEY": "mk_live_..." } } } }
| Variable | Required | Default |
|---|---|---|
MARKAESTRO_API_KEY | yes | n/a |
MARKAESTRO_BASE_URL | no | https://markaestro.com |
MARKAESTRO_READ_ONLY | no | unset; 1 registers only reading tools |
Idempotency-Key on every mutation, minted once per call, so a retried request replays instead of double-posting.429 and transient 5xx responses using the server's Retry-After.PUT to storage, finalize) and never sends the API key to the storage URL.code, any per-channel issues, and a hint about what to change.The skill and the hosted server ship together as a plugin:
claude plugin marketplace add markaestro/markaestro-agents
claude plugin install markaestro@markaestro
Maintainers: the full release runbook (every surface, the version files, and the exact commands) is docs/operations/mcp-release.md in the Markaestro app repository. Summary:
| Surface | How it ships |
|---|---|
Hosted MCP (/api/public/v1/mcp) | Part of the Next.js app; deploys on push to main like every route |
@markaestro/mcp on npm | cd mcp && npm version && npm publish (public scoped package; prepublishOnly builds). Bump src/version.ts with it |
| Plugin and skill | Mirrored to the public repo markaestro/markaestro-agents with node scripts/sync-agents-repo.mjs , then pushed there; claude plugin marketplace add markaestro/markaestro-agents reads it. The skill alone can be copied to ~/.claude/skills/markaestro |
MCP Registry (com.markaestro/mcp) | After the npm publish of the same version: mcp-publisher login http --domain markaestro.com --private-key then mcp-publisher publish from mcp/. The public key is served at /.well-known/mcp-registry-auth |
Glama (markaestro/markaestro-agents) | Admin, Dockerfile: build step npm install -g @markaestro/mcp@ , CMD markaestro-mcp; Build, then Create Release |
cd mcp
npm install npm run build MARKAESTRO_API_KEY=mk_test_... MARKAESTRO_BASE_URL=http://localhost:3000 npm run smoke # local stdio MARKAESTRO_API_KEY=mk_test_... MARKAESTRO_BASE_URL=http://localhost:3000 npm run smoke -- --remote # hosted endpoint
Unit tests live in src/__tests__ and run with the repository's npm test. The smoke script starts the built server over stdio, lists tools, reads the brand, creates a draft, reads it back, and deletes it. Nothing is published.