For the complete documentation index, see llms.txt. This page is also available as Markdown.

MCP Server

Treza ships a remote Model Context Protocol server, so AI assistants like Claude can list your pipelines, inspect runs, and start new runs on your behalf.

https://trezalabs.com/api/mcp

The server speaks Streamable HTTP and authenticates every request. You can connect with OAuth (sign in with your Treza account, no key handling) or with an API key.


Connect from claude.ai

Claude's web and desktop apps support custom connectors:

  1. Open Settings → Connectors → Add custom connector.

  2. Enter a name (for example, Treza) and the URL https://trezalabs.com/api/mcp. Leave the OAuth fields empty.

  3. Click Add, then Connect. You'll be sent to Treza to sign in and approve access, then returned to Claude.

That's it. Ask Claude things like "list my Treza pipelines" or "run my daily short pipeline and tell me when it finishes."


Connect from Claude Code

claude mcp add --transport http treza https://trezalabs.com/api/mcp

Claude Code discovers the OAuth flow automatically and opens a browser window to sign in. To use an API key instead:

claude mcp add --transport http treza https://trezalabs.com/api/mcp \
  --header "Authorization: Bearer treza_live_..."

Any other MCP client that supports Streamable HTTP works the same way: point it at the URL, and either complete the OAuth flow or send your key as a bearer token.


Authentication and scopes

Method
How
Scopes

OAuth

Sign in with your Treza account when the client prompts you

pipelines:read, pipelines:run

API key

Authorization: Bearer treza_live_... header

Whatever the key was granted

API keys must carry the pipelines:read scope to connect, and pipelines:run to start runs. Grant scopes when you create the key on the API keys page. See API Keys.

Access is account-scoped either way: the server only ever sees pipelines owned by the signed-in account, and requests for anything else return an error.


Available tools

Tool
Description

list_pipelines

List your pipelines with status and a summary of recent runs

get_pipeline

One pipeline's metadata plus a summary of its node graph

list_runs

Recent runs for a pipeline, newest first

get_run

One run's status, per-node results, and output media URLs

run_pipeline

Start a run in the background and return its runId immediately


Runs are asynchronous

Video generation takes minutes, so run_pipeline never blocks. It starts the run on Treza's background workers and returns a runId right away; the assistant then polls get_run until the status is no longer running. Finished runs include output URLs for the generated media.


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