How to Use the Aliyun VOD / 阿里云视频点播 MCP in CrewAI

Q: How do I integrate Aliyun VOD / 阿里云视频点播 tools into my CrewAI agents?

Pass the server URL into your agent definition's mcps array. Once connected, your agents can call any of the eight available tools directly.

Q: Can CrewAI manage categories in Aliyun VOD / 阿里云视频点播?

Yes, by calling listcategories. You can build an agent that sorts your media into folders based on the metadata it gathers from the API.

Q: Is it possible to automate video deletion in Aliyun VOD / 阿里云视频点播 using CrewAI?

Certainly. Assign a moderator agent the deletemedia tool. You can set up a sequential workflow where an agent verifies the content before deletion.

Deploy a specialized agent crew to manage your Aliyun VOD / 阿里云视频点播 library via CrewAI.

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Connect Aliyun VOD / 阿里云视频点播 MCP to CrewAI

Create your Vinkius account to connect Aliyun VOD / 阿里云视频点播 to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Aliyun VOD / 阿里云视频点播 with CrewAI

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Collaborative media auditing for CrewAI

Assign one agent to `list_media` while another analyzes the results. By splitting the work, your crew processes large libraries faster than a single agent could. This keeps your library organized. The monitoring agent identifies issues, and the moderator agent resolves them using the tools provided by this MCP Server.

Automated upload management in CrewAI

Use `create_upload_auth` to generate credentials for your research agents. They can then pass these to your system to start new ingestions. Your crew manages the entire lifecycle. From initial auth to final metadata checks, the agents work together to ensure your video pipeline keeps moving.

Efficient library search with CrewAI

Equip your agents with `search_vod_media` to quickly find assets across your account. This allows your team to query your Aliyun VOD / 阿里云视频点播 library using natural language. The agents share the memory of the search results. They can then act on those specific files by running `get_playback_info` for your end users.

Setup guide

Set up Aliyun VOD / 阿里云视频点播 MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Aliyun VOD / 阿里云视频点播 tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Aliyun VOD / 阿里云视频点播 Analyst",
    goal="Access and analyze Aliyun VOD / 阿里云视频点播 data via MCP.",
    backstory="Expert analyst with direct Aliyun VOD / 阿里云视频点播 access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Aliyun VOD / 阿里云视频点播 transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Aliyun VOD / 阿里云视频点播 Analyst",
        goal="Access and analyze Aliyun VOD / 阿里云视频点播 data via MCP.",
        backstory="Expert analyst with direct Aliyun VOD / 阿里云视频点播 access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Aliyun VOD / 阿里云视频点播 transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Aliyun VOD / 阿里云视频点播. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Aliyun VOD / 阿里云视频点播 MCP in CrewAI

Pass the server URL into your agent definition's `mcps` array. Once connected, your agents can call any of the eight available tools directly.

Yes, by calling `list_categories`. You can build an agent that sorts your media into folders based on the metadata it gathers from the API.

Certainly. Assign a moderator agent the `delete_media` tool. You can set up a sequential workflow where an agent verifies the content before deletion.

Vinkius manages your session through an endpoint token. Your agents use this token to authenticate with the server, ensuring your credentials remain private.

The server accesses your video library metadata, including IDs, titles, and playback links. Security is maintained by limiting the server's scope to only the tools explicitly provided.

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