MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Build, run, schedule, and publish AI video pipelines to YouTube and TikTok from any MCP client.
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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://www.trezalabs.com/api/mcpRun this in your terminal
claude mcp add --transport http treza https://www.trezalabs.com/api/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"treza": {
"url": "https://www.trezalabs.com/api/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": {
"treza": {
"type": "http",
"url": "https://www.trezalabs.com/api/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://www.trezalabs.com/api/mcpMenu names can differ slightly by plan and over time.
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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 7, 2026
The registry name was verified with the GitHub account treza-labs, which owns the repo
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 (1.0.3) reached the registry 26 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.
Make AI videos from your coding agent. This plugin connects Cursor, Codex, Gemini CLI, Claude Code, and any client that supports Agent Plugins or MCP to Treza, so your agent can make a clip from a description, finish media you already have, and build video pipelines that render and post to YouTube and TikTok on a schedule.
https://www.trezalabs.com/api/mcp (Streamable HTTP, OAuth with dynamic client registration)The first connection signs you in to Treza with Google and creates your account. There is no key to paste.
Cursor. Add to Cursor, or put this in ~/.cursor/mcp.json (or .cursor/mcp.json in a project) and restart Cursor:
{
"mcpServers": { "treza": { "url": "https://www.trezalabs.com/api/mcp" } } }
Codex CLI.
codex mcp add treza --url https://www.trezalabs.com/api/mcp
codex mcp login treza
In the ChatGPT desktop app, Treza is in the plugin catalog ChatGPT and Codex share: open Plugins, open Treza and add it.
Gemini CLI. This repo is a Gemini CLI extension:
gemini extensions install https://github.com/treza-labs/treza-plugin
Then run /mcp auth treza inside Gemini CLI. Gemini also loads the skill in skills/.
Antigravity CLI. Add Treza to ~/.gemini/config/mcp_config.json, then type /mcp to sign in:
{
"mcpServers": { "treza": { "serverUrl": "https://www.trezalabs.com/api/mcp" } } }
Claude Code.
claude mcp add --transport http --scope user treza https://www.trezalabs.com/api/mcp
Then run /mcp inside Claude Code and sign in.
Cline. Follow llms-install.md, or add the URL under MCP Servers, Remote Servers, with Streamable HTTP, then click Authenticate.
Clients that only start local servers. This repo ships treza-mcp, a small Node bridge that forwards every tool, prompt, and resource to the hosted server. It needs a scoped key from the API keys page in TREZA_API_KEY:
{
"mcpServers": { "treza": { "command": "npx", "args": ["-y", "treza-mcp"], "env": { "TREZA_API_KEY": "treza_live_..." } } } }
TREZA_MCP_URL overrides the endpoint (staging, self-hosted). The bridge runs nothing locally; it is a proxy.
| File | Purpose |
|---|---|
plugin.json | Agent Plugins manifest |
.cursor-plugin/plugin.json | Cursor plugin manifest: the same server and skill, with the logo |
mcp.json | Declares the remote Treza MCP server for plugin-aware clients |
skills/treza-video-pipelines/ | A skill that teaches the agent the shortest path to a video, and to price a render before it starts |
gemini-extension.json | Gemini CLI extension manifest (the same remote server) |
llms-install.md | Setup steps an agent such as Cline can follow on its own |
bin/treza-mcp.mjs | The stdio bridge published to npm as treza-mcp. The plugin itself does not run it |
Twenty-six tools your agent can call:
make_video turns a description into one clip in a single call. It picks the model, prepares the render, and returns the price; run_pipeline starts it once the person accepts.list_assets browses the library, import_media adds a file (a public link, or a local file sent through create_upload_url), edit_asset runs one operation over one file (captions, upscale, trim, crop, overlay, background removal), and assemble_video joins clips over narration and a music bed, with captions.list_pipeline_templates, list_node_types, get_node_type, create_pipeline, update_pipeline, publish_pipeline, list_pipelines, get_pipeline, set_schedule_pausedrun_pipeline, get_run, list_runs, cancel_runlist_connected_channels, connect_channel returns a link that connects a YouTube channel or TikTok account in the person's own browser, and publish_asset lays a finished video out for review before it postsestimate_run_cost, get_credit_balance, get_profile, create_api_key (OAuth connections only)Two more, open_library and confirm_publish, belong to Treza's panels: they run when the person uses the panel, never from the model.
Read-only tools carry readOnlyHint. Renders spend prepaid credits, so make_video and estimate_run_cost quote a price first, and run_pipeline starts a quoted run once, at that price. Renders run in the background and return a run to poll with get_run.
In clients that show MCP Apps panels, such as ChatGPT and Claude, results appear as panels: the finished file, the price with a Start render button, a library to pick files from, a map of a pipeline, and the post before it goes out. Other clients get the same answers as text and links. Posting with publish_asset needs a panel; without one, publish through a pipeline that ends in a youtube-upload or tiktok-upload node.
Runs spend prepaid credits on your Treza account. Agents with a wallet can top up over x402 with no human in the loop.
MIT licensed. Support: hello@trezalabs.com