How do I find my Tencent Cloud SecretId and SecretKey?

Log in to the [Tencent Cloud Console](https://console.cloud.tencent.com/), navigate to [Access Management] -> [API Key Management] to find or generate your unique SecretId and SecretKey.

A FileId is the unique identifier for a media file in the Tencent Cloud VOD system. It is assigned when a video is uploaded and is used for all media-specific operations like metadata retrieval or deletion.

Does this server support SubAppIds?

Yes! You can provide a `tencent_vod_subappid` in your credentials. If set, the agent will automatically include it in all VOD requests to manage resources within that specific sub-application.

Tencent Cloud VOD / 腾讯云点播 MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: Tencent Cloud VOD / 腾讯云点播
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Tencent Cloud VOD / 腾讯云点播 through the Vinkius — pass the Edge URL in the `mcps` parameter and every Tencent Cloud VOD / 腾讯云点播 tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Tencent Cloud VOD / 腾讯云点播 Specialist",
    goal="Help users interact with Tencent Cloud VOD / 腾讯云点播 effectively",
    backstory=(
        "You are an expert at leveraging Tencent Cloud VOD / 腾讯云点播 tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Tencent Cloud VOD / 腾讯云点播 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

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

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About Tencent Cloud VOD / 腾讯云点播 MCP Server

Empower your AI agent to orchestrate your video-on-demand infrastructure and digital asset management with Tencent Cloud VOD (云点播), the dominant video processing platform in China. By connecting Tencent VOD to your agent, you transform complex media management, background task tracking, and storage auditing into a natural conversation. Your agent can instantly retrieve detailed video metadata, update media titles and descriptions, search through massive media libraries, and monitor processing tasks without you ever needing to navigate the comprehensive Tencent Cloud Console. Whether you are conducting a digital media audit or coordinating a content distribution refresh, your agent acts as a real-time VOD operations assistant, providing accurate results from a single, authorized source.

When paired with CrewAI, Tencent Cloud VOD / 腾讯云点播 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Tencent Cloud VOD / 腾讯云点播 tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

What you can do

Media Orchestration — Retrieve metadata for multiple FileIds, update media info, and delete obsolete assets.
Content Discovery — Search for media files using keywords, classes, and tags with advanced sorting.
Task Auditing — Track the real-time status and technical details of asynchronous VOD background tasks.
Storage Monitoring — Access comprehensive storage volume statistics for specific time ranges.
Classification Management — Retrieve and audit the complete media classification tree for your project.

The Tencent Cloud VOD / 腾讯云点播 MCP Server exposes 8 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Tencent Cloud VOD / 腾讯云点播 to CrewAI via MCP

Follow these steps to integrate the Tencent Cloud VOD / 腾讯云点播 MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 8 tools from Tencent Cloud VOD / 腾讯云点播

Why Use CrewAI with the Tencent Cloud VOD / 腾讯云点播 MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Tencent Cloud VOD / 腾讯云点播 through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Tencent Cloud VOD / 腾讯云点播 + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Tencent Cloud VOD / 腾讯云点播 MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Tencent Cloud VOD / 腾讯云点播 for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Tencent Cloud VOD / 腾讯云点播, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Tencent Cloud VOD / 腾讯云点播 tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Tencent Cloud VOD / 腾讯云点播 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Tencent Cloud VOD / 腾讯云点播 MCP Tools for CrewAI (8)

These 8 tools become available when you connect Tencent Cloud VOD / 腾讯云点播 to CrewAI via MCP:

delete_media_file

Remove media from VOD

get_media_info

Get video metadata

get_storage_stats

Get storage usage data

get_task_detail

Track VOD task

list_media_classes

List all media classes

list_recent_media

List recently updated media

search_media_files

Search VOD library

update_media_info

Modify media properties

Example Prompts for Tencent Cloud VOD / 腾讯云点播 in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Tencent Cloud VOD / 腾讯云点播 immediately.

"Search for media files containing 'Product Launch' in my VOD library."

"Check the status of VOD task 'task-1234567890'."

"Show me our VOD storage usage stats for the last 30 days."

Troubleshooting Tencent Cloud VOD / 腾讯云点播 MCP Server with CrewAI

Common issues when connecting Tencent Cloud VOD / 腾讯云点播 to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Tencent Cloud VOD / 腾讯云点播 + CrewAI FAQ

Common questions about integrating Tencent Cloud VOD / 腾讯云点播 MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.