MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Publish to 8 social networks, answer Instagram and Facebook DMs, build comment-to-DM flows.
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.
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Works in Claude on the web, desktop and mobile:
https://chat33.io/api/mcp/mcpRun this in your terminal
claude mcp add --transport http chat33 https://chat33.io/api/mcp/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"chat33": {
"url": "https://chat33.io/api/mcp/mcp"
}
}
}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": {
"chat33": {
"type": "http",
"url": "https://chat33.io/api/mcp/mcp"
}
}
}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://chat33.io/api/mcp/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
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 chat33.io (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
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 1 of 1 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 8 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.
Social media MCP server for AI agents. Connect Claude, ChatGPT, Cursor, VS Code or any MCP client to Chat33 and let your agent publish and schedule posts to Instagram, Facebook, Threads, TikTok, YouTube, X, LinkedIn and Bluesky, answer Instagram and Facebook DMs and comments, and build comment-to-DM automations.
This is a hosted (remote) server. There is nothing to install or run: point your client at the URL below and sign in.
https://chat33.io/api/mcp/mcp
Prefer OAuth wherever your client supports it: add the server, choose Authenticate (or the client's login button) and approve in the browser tab that opens. No API key needed.
claude mcp add --transport http --scope user chat33 https://chat33.io/api/mcp/mcp
Then run /mcp, choose chat33 → Authenticate and approve in the browser.
Settings → Connectors → Add custom connector → URL https://chat33.io/api/mcp/mcp → Connect, then approve in the browser.
Settings → Apps / Connectors → Advanced → turn on Developer mode → Create: name Chat33, URL https://chat33.io/api/mcp/mcp, authentication OAuth. Sign in to Chat33 and click Allow.
~/.cursor/mcp.json:
{
"mcpServers": { "chat33": { "url": "https://chat33.io/api/mcp/mcp" } } }
.vscode/mcp.json in your workspace (or the user MCP config):
{
"servers": { "chat33": { "type": "http", "url": "https://chat33.io/api/mcp/mcp" } } }
~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": { "chat33": { "serverUrl": "https://chat33.io/api/mcp/mcp" } } }
codex mcp add chat33 --url https://chat33.io/api/mcp/mcp
codex mcp login chat33
gemini extensions install https://github.com/chat33-io/chat33-mcp
Create a key in Chat33 → Settings → API Keys and send it as an x-api-key header (or Authorization: Bearer):
{
"mcpServers": { "chat33": { "url": "https://chat33.io/api/mcp/mcp", "headers": { "x-api-key": "sk_live_..." } } } }
| Group | Tools |
|---|---|
| Account | list_accounts, whoami |
| Publishing | create_post, validate_post, list_posts, get_post, delete_post, get_post_logs, request_approval, list_approvals, add_post_note |
| Media | upload_media, create_upload_url |
| Analytics | get_analytics |
| Automations | list_flows, get_flow, create_flow, set_flow_status |
| Inbox | list_conversations, get_messages, reply_to_conversation |
| Comments | list_post_comments, reply_to_comment |
Tools that message a real person (reply_to_conversation, reply_to_comment) tell the agent to ask for your approval first. New automations are created as drafts.
MIT. This repository describes the hosted server; the server itself runs at chat33.io.