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.

An EnvId is the unique identifier for a specific CloudBase environment (e.g., development or production). You can find it in the TCB Environment Overview section of the console.

Does this server handle TC3-HMAC-SHA256 signatures?

Yes! The server automatically calculates the required Signature V3 (TC3-HMAC-SHA256) for every request using your provided SecretKey, ensuring high security for your serverless backend orchestration.

Tencent CloudBase / 腾讯云开发 TCB MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: Tencent CloudBase / 腾讯云开发 TCB
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Tencent CloudBase / 腾讯云开发 TCB as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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_cloudbase_tcb_agent",
    instruction=(
        "You help users interact with Tencent CloudBase / 腾讯云开发 TCB "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

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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 CloudBase / 腾讯云开发 TCB MCP Server

Empower your AI agent to orchestrate your serverless infrastructure and backend resources with Tencent CloudBase (云开发), the premier BaaS platform in China. By connecting TCB to your agent, you transform complex cloud function management, database auditing, and storage orchestration into a natural conversation. Your agent can instantly retrieve function lists, invoke cloud logic with custom data, query NoSQL collections, and monitor environment quotas without you ever needing to navigate the comprehensive Tencent Cloud Console. Whether you are managing miniapp backends or coordinating high-volume digital automation, your agent acts as a real-time serverless operations assistant, providing accurate results from a single, authorized source.

Google ADK natively supports Tencent CloudBase / 腾讯云开发 TCB as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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

Function Orchestration — List cloud functions, retrieve detailed metadata, and invoke logic directly through the agent.
Database Auditing — List database collections and execute complex queries on your cloud NoSQL data.
Storage Management — List and audit storage buckets and monitor file resources within your environment.
User Management — Retrieve lists of authenticated users registered in your TCB environment.
Operational Monitoring — Verify project connectivity, active regions, and monitor free quota usage to ensure stability.

The Tencent CloudBase / 腾讯云开发 TCB MCP Server exposes 8 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 CloudBase / 腾讯云开发 TCB to Google ADK via MCP

Follow these steps to integrate the Tencent CloudBase / 腾讯云开发 TCB 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 8 tools from Tencent CloudBase / 腾讯云开发 TCB via MCP

Why Use Google ADK with the Tencent CloudBase / 腾讯云开发 TCB MCP Server

Google ADK provides unique advantages when paired with Tencent CloudBase / 腾讯云开发 TCB 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 CloudBase / 腾讯云开发 TCB

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 CloudBase / 腾讯云开发 TCB tools with BigQuery, Vertex AI, and Cloud Functions

Tencent CloudBase / 腾讯云开发 TCB + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Tencent CloudBase / 腾讯云开发 TCB MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Tencent CloudBase / 腾讯云开发 TCB and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Tencent CloudBase / 腾讯云开发 TCB tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Tencent CloudBase / 腾讯云开发 TCB 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 CloudBase / 腾讯云开发 TCB

Tencent CloudBase / 腾讯云开发 TCB MCP Tools for Google ADK (8)

These 8 tools become available when you connect Tencent CloudBase / 腾讯云开发 TCB to Google ADK via MCP:

get_environment_info

Get TCB environment details

get_function_metadata

Get function details

invoke_cloud_function

Trigger cloud function

list_auth_users

List authenticated users

list_cloud_functions

List cloud functions

list_collections

List database collections

list_tcb_buckets

List storage buckets

query_cloud_db

Query cloud database

Example Prompts for Tencent CloudBase / 腾讯云开发 TCB in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Tencent CloudBase / 腾讯云开发 TCB immediately.

"List all cloud functions in our 'prod-8821' environment."

"Query the 'Users' collection for all documents where 'status' is 'active'."

"Show me the configuration and quota usage for our TCB environment."

Troubleshooting Tencent CloudBase / 腾讯云开发 TCB MCP Server with Google ADK

Common issues when connecting Tencent CloudBase / 腾讯云开发 TCB to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Tencent CloudBase / 腾讯云开发 TCB + Google ADK FAQ

Common questions about integrating Tencent CloudBase / 腾讯云开发 TCB MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.