Maestro MCP Server

Maestro MCP Server

Produce complete videos from a natural-language brief with Maestro through the Ace Data Cloud API. Maestro plans the script, creates or sources media, generates voiceover and music, edits, captions, renders, and returns finished video variants.

Connect: hosted OAuth, API token, or local stdio

The hosted endpoint is https://maestro.mcp.acedata.cloud/mcp. Choose one route for the MCP client:

The hosted service advertises OAuth metadata and Dynamic Client Registration (DCR). DCR registers the client application; it is not an API key. OAuth signs you in and the client sends the resulting Bearer token; it may reuse or create an API credential for the account. Browser sign-in still requires an AceDataCloud account. The hosted service can be metered: review current service documentation and displayed pricing before a real operation. Do not configure both an OAuth login and a fixed Authorization header for the same server.

Hosted OAuth examples

• Claude and Claude Desktop chat: Add a remote custom connector in Customize → Connectors → Add custom connector, enter https://maestro.mcp.acedata.cloud/mcp, select sign-in, and choose Register automatically if Claude asks how to register its OAuth client. Complete consent. Claude Desktop's local claude_desktop_config.json is a separate setup. Claude connector guide.
• Claude Code: claude mcp add --transport http --scope user maestro https://maestro.mcp.acedata.cloud/mcp, then claude mcp login maestro. Check /mcp. Claude Code MCP guide.
• Cursor: Add a remote server with only https://maestro.mcp.acedata.cloud/mcp. For a project, merge the entry below into <project>/.cursor/mcp.json; for personal use, use ~/.cursor/mcp.json. Cursor MCP guide.
• VS Code / Copilot: Run MCP: Add Server, select HTTP, enter https://maestro.mcp.acedata.cloud/mcp, then finish the browser sign-in. New portable workspace configs use <project>/.mcp.json; the VS Code-specific format below uses <project>/.vscode/mcp.json or the user profile. Check MCP: List Servers. VS Code MCP setup.
• Codex: codex mcp add maestro --url https://maestro.mcp.acedata.cloud/mcp, then codex mcp login maestro. Its user settings are in ~/.codex/config.toml. Official Codex MCP guide.

Cursor project config (OAuth):

{
  "mcpServers": {
    "maestro": {"url": "https://maestro.mcp.acedata.cloud/mcp"}
  }
}

VS Code-specific workspace config (OAuth):

{
  "servers": {
    "maestro": {"type": "http", "url": "https://maestro.mcp.acedata.cloud/mcp"}
  }
}

Hosted API token

Sign in at AceDataCloud Platform, open the service page, and obtain an API credential. A fixed Bearer header is useful when your client lacks OAuth; an invalid header does not fall back to OAuth in Claude Code. The header value is sensitive, so keep it out of committed files and screenshots.

For Claude Code, the shell expands the token when you add the server; treat the saved user MCP config as a secret:

export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'
claude mcp add --transport http --scope user maestro https://maestro.mcp.acedata.cloud/mcp \
  --header "Authorization: Bearer $ACEDATACLOUD_API_TOKEN"

For a Claude Code project config, put a variable reference in <project>/.mcp.json and set that variable in the environment that launches Claude Code:

{
  "mcpServers": {
    "maestro": {
      "type": "http",
      "url": "https://maestro.mcp.acedata.cloud/mcp",
      "headers": {"Authorization": "Bearer ${ACEDATACLOUD_API_TOKEN}"}
    }
  }
}

Cursor uses a different environment-variable syntax in ~/.cursor/mcp.json or an uncommitted project config:

{
  "mcpServers": {
    "maestro": {
      "url": "https://maestro.mcp.acedata.cloud/mcp",
      "headers": {"Authorization": "Bearer ${env:ACEDATACLOUD_API_TOKEN}"}
    }
  }
}

In VS Code, run MCP: Open User Configuration and merge this server plus its masked input; ${input:...} is for VS Code's user/workspace format and is not portable to the Agent Host .mcp.json format:

{
  "inputs": [
    {"id": "acedata-maestro-token", "type": "promptString", "description": "AceDataCloud API token", "password": true}
  ],
  "servers": {
    "maestro": {
      "type": "http",
      "url": "https://maestro.mcp.acedata.cloud/mcp",
      "headers": {"Authorization": "Bearer ${input:acedata-maestro-token}"}
    }
  }
}

For Cline, use its MCP configuration UI or CLI file ~/.cline/data/settings/cline_mcp_settings.json; its remote transport value is streamableHttp. For JetBrains AI Assistant, add a remote URL from Settings → Tools → AI Assistant → Model Context Protocol (MCP). For Zed, use a context_servers entry with the URL only for OAuth or add a local Bearer header. These clients have different configuration schemas; follow their current UI rather than copying another client's JSON. Cline · JetBrains · Zed.

Local stdio

Install the package and give the local process an API token:

python -m pip install mcp-maestro
export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'
mcp-maestro

For Claude Desktop local MCP, merge this entry into the file opened by its developer settings (~/Library/Application Support/Claude/claude_desktop_config.json on macOS). uvx requires uv on PATH:

{
  "mcpServers": {
    "maestro": {
      "command": "uvx",
      "args": ["mcp-maestro"],
      "env": {"ACEDATACLOUD_API_TOKEN": "YOUR_API_TOKEN"}
    }
  }
}

Keep this user-level file private. Self-hosted HTTP uses mcp-maestro --transport http --port 8000; expose it only with suitable network and TLS controls. Local execution still calls the AceDataCloud API.

Check before using the service

1. https://maestro.mcp.acedata.cloud/health returning {"status":"ok"} checks endpoint reachability only.
2. Confirm that the MCP client loads tools. The tool list shows MCP discovery, not downstream API access or balance.
3. If you need a full API check, call maestro_create_video with your own valid input after reviewing current service documentation and displayed pricing. If the result contains a task ID, call maestro_get_task on that same ID until terminal success or failure. Do not resubmit the operation just to check progress.

For 401, check which auth route the client used and whether the token or OAuth session is valid. A 403 may mean an account permission or content moderation failure; read the returned error. Insufficient balance and downstream service failures need their own diagnosis. A listed tool or submitted task does not prove a successful result.

Tools

Example

Ask an MCP client:

Create a 45-second 16:9 English product launch video from this product photo. Use an editorial style and a documentary voice.

The tool returns a task_id immediately. Query that ID until status is succeeded or failed. Successful tasks expose videos in response.data.variants.

To inspect existing task history without creating a video, call maestro_list_tasks. It accepts a limit from 1 to 100 and optional exclusive created_at_min / created_at_max Unix timestamp bounds. The returned items honor those filters; count remains the authenticated account's total visible task count.

Production contract

Maestro provides the complete capability set on every request: all actions and scenarios, 5–300 seconds, up to 4 languages, and 1080p/30fps output. Pricing can change by scenario, duration, and output languages; check the current Maestro pricing before submitting. Task polling does not submit a new generation.

To revise an existing result, call maestro_create_video with an iteration action and the prior task ID:

{
  "prompt": "Keep the visuals but tighten the first 10 seconds and use a warmer voice.",
  "action": "edit",
  "ref_task_id": "previous-task-id"
}

MCP Client Configuration

{
  "mcpServers": {
    "maestro": {
      "command": "uvx",
      "args": ["mcp-maestro"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your-token"
      }
    }
  }
}

Development

pip install -e ".[dev,test,release]"
pytest --cov=core --cov=tools
ruff check .
ruff format --check .
mypy core tools main.py
python -m build

See the Maestro API documentation for billing and response details.

Documentation

Documentation