Tencent CloudBase / 腾讯云开发 TCB 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 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.
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-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();
* 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.
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 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.
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
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 CloudBase / 腾讯云开发 TCB 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 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.
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
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
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
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:
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 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.
"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 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.
createMCPClient not exported
npm install @mastra/mcpTencent 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.
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 CloudBase / 腾讯云开发 TCB 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 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.
