Tencent Cloud VOD / 腾讯云点播 MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Tencent Cloud VOD / 腾讯云点播 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"tencent-cloud-vod": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Tencent Cloud VOD / 腾讯云点播 Agent",
instructions:
"You help users interact with Tencent Cloud VOD / 腾讯云点播 " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Tencent Cloud VOD / 腾讯云点播?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Tencent Cloud VOD / 腾讯云点播 tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Tencent Cloud VOD / 腾讯云点播 MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Tencent Cloud VOD / 腾讯云点播 via MCP
Why Use Mastra AI with the Tencent Cloud VOD / 腾讯云点播 MCP Server
Mastra AI provides unique advantages when paired with Tencent Cloud VOD / 腾讯云点播 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Tencent Cloud VOD / 腾讯云点播 without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Tencent Cloud VOD / 腾讯云点播 tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Tencent Cloud VOD / 腾讯云点播 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Tencent Cloud VOD / 腾讯云点播 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Tencent Cloud VOD / 腾讯云点播, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Tencent Cloud VOD / 腾讯云点播 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Tencent Cloud VOD / 腾讯云点播 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Tencent Cloud VOD / 腾讯云点播 tools alongside other MCP servers
Tencent Cloud VOD / 腾讯云点播 MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Tencent Cloud VOD / 腾讯云点播 to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Tencent Cloud VOD / 腾讯云点播 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTencent Cloud VOD / 腾讯云点播 + Mastra AI FAQ
Common questions about integrating Tencent Cloud VOD / 腾讯云点播 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Tencent Cloud VOD / 腾讯云点播 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Tencent Cloud VOD / 腾讯云点播 to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.