Server data from the Official MCP Registry
Build, run, schedule, and publish AI video pipelines to YouTube and TikTok from any MCP client.
About
Build, run, schedule, and publish AI video pipelines to YouTube and TikTok from any MCP client.
Remote endpoints: streamable-http: https://www.trezalabs.com/api/mcp
Security Report
This is a thin stdio proxy that forwards every MCP tool, prompt, and resource to the hosted Treza endpoint, with nothing executed locally beyond the bridge. It requires a scoped API key from the environment and sends it only as a Bearer header, which is the expected pattern. The main concerns are minor: the endpoint URL can be overridden by an environment variable without any HTTPS or host validation, and credit-spending and publishing tools are forwarded without any local confirmation gate. Supply chain analysis found 4 known vulnerabilities in dependencies (0 critical, 4 high severity).
3 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
Treza plugin
Agent Plugins package for the Treza MCP server. Install it in Cursor, Codex, GitHub Copilot, VS Code, or any client that supports the standard, and your agent can build, run, schedule, and publish AI video pipelines to YouTube and TikTok. The same repo is a Gemini CLI extension, and Cline can install it from llms-install.md.
- Server:
https://www.trezalabs.com/api/mcp(Streamable HTTP, OAuth with dynamic client registration) - Landing page and setup snippets: https://www.trezalabs.com/connect
- Docs: https://docs.trezalabs.com/api/mcp-server
- Privacy: https://docs.trezalabs.com/terms-and-privacy/privacy
Two ways to connect
Remote (recommended). Point any client that supports OAuth at https://www.trezalabs.com/api/mcp. The first connection signs you in with Google and creates the Treza account. Nothing to install.
stdio bridge. For clients and agent runtimes that only spawn local servers, this repo ships treza-mcp, a small Node bridge that forwards every tool, prompt, and resource to the hosted endpoint. It needs a scoped API key in TREZA_API_KEY (mint one in the Treza app under Settings, API keys, or have an OAuth-connected client call create_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.
What is inside
| File | Purpose |
|---|---|
bin/treza-mcp.mjs | The stdio bridge (source of the treza-mcp command) |
plugin.json | Agent Plugins manifest |
mcp.json | Declares the remote Treza MCP server for plugin-aware clients |
skills/treza-video-pipelines/ | A skill that teaches the agent the credits-first, estimate-before-run workflow |
gemini-extension.json | Gemini CLI extension manifest (the same remote server; Gemini CLI also loads the skill) |
llms-install.md | Setup steps an agent such as Cline can follow on its own |
Tools
Twenty-four tools in five groups:
- Authoring:
list_pipeline_templates,list_node_types,get_node_type,create_pipeline,update_pipeline,publish_pipeline - Running:
list_pipelines,get_pipeline,run_pipeline,get_run,list_runs,set_schedule_paused - Your media:
list_assetsbrowses the media library,import_mediaadds a file (an attachment, a public link, or a local file sent throughcreate_upload_url),assemble_videojoins clips into one video with optional narration, a music bed, and burned-in captions, andedit_assetruns node operations (captions, upscale, trim, crop, and more) over a single file - Channels and publishing:
list_connected_channels,connect_channelreturns a link that connects a YouTube channel or TikTok account in the person's own browser, andpublish_assetlays a finished video out for review before it posts.confirm_publishbelongs to the publish panel: it runs when the person presses Post there, never from the model - Budget and access:
estimate_run_cost,get_credit_balance,create_api_key(OAuth connections only)
Read-only tools carry readOnlyHint. run_pipeline, publish_pipeline, assemble_video, and edit_asset spend prepaid credits, and run_pipeline and publish_pipeline can post to a connected channel. assemble_video and edit_asset render 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. Posting with publish_asset needs a panel; without one, publish through a pipeline that ends in a youtube-upload or tiktok-upload node.
Gemini CLI
gemini extensions install https://github.com/treza-labs/treza-plugin
Then run /mcp auth treza inside Gemini CLI. Your browser opens Treza's sign-in page; sign in with Google, approve, and the tools are available.
Cline
Add the server under MCP Servers, Remote Servers, with the URL https://www.trezalabs.com/api/mcp and Streamable HTTP, then click Authenticate. Or add it to cline_mcp_settings.json:
{
"mcpServers": {
"treza": { "type": "streamableHttp", "url": "https://www.trezalabs.com/api/mcp" }
}
}
Cursor without the plugin
Add to .cursor/mcp.json:
{
"mcpServers": {
"treza": { "url": "https://www.trezalabs.com/api/mcp" }
}
}
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
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