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

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Tencent CloudBase / 腾讯云开发 TCB 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-cloudbase-tcb": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Tencent CloudBase / 腾讯云开发 TCB Agent",
    instructions:
      "You help users interact with Tencent CloudBase / 腾讯云开发 TCB " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Tencent CloudBase / 腾讯云开发 TCB?"
  );
  console.log(result.text);
}

main();
Tencent CloudBase / 腾讯云开发 TCB
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* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Tencent CloudBase / 腾讯云开发 TCB tool infrastructure. Connect 8 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

  • 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 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 CloudBase / 腾讯云开发 TCB to Mastra AI via MCP

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

Why Use Mastra AI with the Tencent CloudBase / 腾讯云开发 TCB MCP Server

Mastra AI provides unique advantages when paired with Tencent CloudBase / 腾讯云开发 TCB through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Tencent CloudBase / 腾讯云开发 TCB 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 CloudBase / 腾讯云开发 TCB 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 CloudBase / 腾讯云开发 TCB + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Tencent CloudBase / 腾讯云开发 TCB, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Tencent CloudBase / 腾讯云开发 TCB 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 CloudBase / 腾讯云开发 TCB on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Tencent CloudBase / 腾讯云开发 TCB tools alongside other MCP servers

Tencent CloudBase / 腾讯云开发 TCB MCP Tools for Mastra AI (8)

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

01

get_environment_info

Get TCB environment details

02

get_function_metadata

Get function details

03

invoke_cloud_function

Trigger cloud function

04

list_auth_users

List authenticated users

05

list_cloud_functions

List cloud functions

06

list_collections

List database collections

07

list_tcb_buckets

List storage buckets

08

query_cloud_db

Query cloud database

Example Prompts for Tencent CloudBase / 腾讯云开发 TCB in Mastra AI

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

01

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

02

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

03

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

Troubleshooting Tencent CloudBase / 腾讯云开发 TCB MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Tencent CloudBase / 腾讯云开发 TCB + Mastra AI FAQ

Common questions about integrating Tencent CloudBase / 腾讯云开发 TCB 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 CloudBase / 腾讯云开发 TCB to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.