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Mcp Maestro

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Produce complete AI videos from a brief with Maestro.

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Overview Installation

Overview

Mcp Maestro is a Model Context Protocol (MCP) server: Produce complete AI videos from a brief with Maestro. In practice that means any MCP-compatible AI assistant can call Mcp Maestro's tools directly — the model decides when to use them in a conversation or agent run.

You can run Mcp Maestro two ways: connect to the hosted endpoint at https://maestro.mcp.acedata.cloud/mcp with no local install, or run it on your own machine via the Python package mcp-maestro (via uvx). Configuration happens through environment variables — you'll need ACEDATACLOUD_API_TOKEN. The current release is v2026.8.24.0, published under the MIT license, with source at AceDataCloud/MaestroMCP on GitHub.

Mcp Maestro is listed under Development on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain Mcp Maestro for AceDataCloud, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

▸Hosted endpoint — Streamable HTTP · https://maestro.mcp.acedata.cloud/mcp
▸PyPI package — mcp-maestro · MCP over stdio
▸Credentials — Requires ACEDATACLOUD_API_TOKEN
▸Open source — MIT license · AceDataCloud/MaestroMCP
▸Topics — acedata-cloud, ai-video, developer-tools, mcp, mcp-server

Installation

Settings → Connectors → Add custom connector
Name: Mcp Maestro
URL:  https://maestro.mcp.acedata.cloud/mcp

Requires ACEDATACLOUD_API_TOKEN

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