Tencent TRTC MCP Server for Google ADK 11 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Tencent TRTC as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="tencent_trtc_agent",
instruction=(
"You help users interact with Tencent TRTC "
"using 11 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Tencent TRTC as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the Tencent TRTC MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 11 tools from Tencent TRTC via MCP
Why Use Google ADK with the Tencent TRTC MCP Server
Google ADK provides unique advantages when paired with Tencent TRTC through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Tencent TRTC
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine Tencent TRTC tools with BigQuery, Vertex AI, and Cloud Functions
Tencent TRTC + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Tencent TRTC MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Tencent TRTC and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Tencent TRTC tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Tencent TRTC regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Tencent TRTC
Tencent TRTC MCP Tools for Google ADK (11)
These 11 tools become available when you connect Tencent TRTC to Google ADK via MCP:
describe_call_detail_info
Get granular call quality metrics
describe_room_info
Get TRTC room session details
describe_trtc_usage
Get aggregated TRTC usage statistics
describe_user_info
Requires CommId format: SdkAppId_CreateTime. Query user list for a specific call session
dismiss_room
Terminate a TRTC room session
remove_user
Remove users from a TRTC room
remove_user_by_str_room_id
Remove users from a TRTC room by string room ID
start_cloud_recording
Start cloud recording for a TRTC room
start_mcu_mix
Start MCU mix transcoding for a room
stop_cloud_recording
Stop an active cloud recording task
stop_mcu_mix
Stop MCU mix transcoding for a room
Example Prompts for Tencent TRTC in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Tencent TRTC immediately.
"Kick user 9901 from room ID 3084."
"Check the health and users attached to room TestRoomA."
Troubleshooting Tencent TRTC MCP Server with Google ADK
Common issues when connecting Tencent TRTC to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkTencent TRTC + Google ADK FAQ
Common questions about integrating Tencent TRTC MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Tencent TRTC 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 TRTC to Google ADK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
