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Tencent TRTC MCP Server for Mastra AI 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Tencent TRTC through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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-trtc": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Tencent TRTC Agent",
    instructions:
      "You help users interact with Tencent TRTC " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Tencent TRTC?"
  );
  console.log(result.text);
}

main();
Tencent TRTC
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 TRTC MCP Server

Equip your AI agent with Tencent TRTC (Tencent Real-Time Communication), the underlying video-conferencing technology empowering massive platforms globally. This MCP server offers 10 deep tools to administrate live-streaming rooms automatically.

Mastra's agent abstraction provides a clean separation between LLM logic and Tencent TRTC tool infrastructure. Connect 11 tools through the 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

  • Session & User Administration — Kick malicious users from calls, dismiss full rooms, and track active users in real-time
  • Cloud Processing — Autonomously start MCU stream mixing or coordinate high-definition cloud recordings to Tencent VOD
  • Quality Assessment — Parse and assess real-time call performance matrices and dropped-frame analytics directly

The Tencent TRTC MCP Server exposes 11 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 TRTC to Mastra AI via MCP

Follow these steps to integrate the Tencent TRTC MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 11 tools from Tencent TRTC via MCP

Why Use Mastra AI with the Tencent TRTC MCP Server

Mastra AI provides unique advantages when paired with Tencent TRTC through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Tencent TRTC without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Tencent TRTC tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Tencent TRTC + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Tencent TRTC MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Tencent TRTC, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Tencent TRTC as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Tencent TRTC on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Tencent TRTC tools alongside other MCP servers

Tencent TRTC MCP Tools for Mastra AI (11)

These 11 tools become available when you connect Tencent TRTC to Mastra AI via MCP:

01

describe_call_detail_info

Get granular call quality metrics

02

describe_room_info

Get TRTC room session details

03

describe_trtc_usage

Get aggregated TRTC usage statistics

04

describe_user_info

Requires CommId format: SdkAppId_CreateTime. Query user list for a specific call session

05

dismiss_room

Terminate a TRTC room session

06

remove_user

Remove users from a TRTC room

07

remove_user_by_str_room_id

Remove users from a TRTC room by string room ID

08

start_cloud_recording

Start cloud recording for a TRTC room

09

start_mcu_mix

Start MCU mix transcoding for a room

10

stop_cloud_recording

Stop an active cloud recording task

11

stop_mcu_mix

Stop MCU mix transcoding for a room

Example Prompts for Tencent TRTC in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Tencent TRTC immediately.

01

"Kick user 9901 from room ID 3084."

02

"Check the health and users attached to room TestRoomA."

Troubleshooting Tencent TRTC MCP Server with Mastra AI

Common issues when connecting Tencent TRTC to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Tencent TRTC + Mastra AI FAQ

Common questions about integrating Tencent TRTC MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Tencent TRTC to Mastra AI

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.