Tencent CloudBase / 腾讯云开发 TCB MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Tencent CloudBase / 腾讯云开发 TCB through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Tencent CloudBase / 腾讯云开发 TCB, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Tencent CloudBase / 腾讯云开发 TCB tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Tencent CloudBase / 腾讯云开发 TCB MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Tencent CloudBase / 腾讯云开发 TCB and passes them to the LLM
Why Use Vercel AI SDK with the Tencent CloudBase / 腾讯云开发 TCB MCP Server
Vercel AI SDK provides unique advantages when paired with Tencent CloudBase / 腾讯云开发 TCB through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Tencent CloudBase / 腾讯云开发 TCB integration everywhere
Built-in streaming UI primitives let you display Tencent CloudBase / 腾讯云开发 TCB tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Tencent CloudBase / 腾讯云开发 TCB + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Tencent CloudBase / 腾讯云开发 TCB MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Tencent CloudBase / 腾讯云开发 TCB in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Tencent CloudBase / 腾讯云开发 TCB tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Tencent CloudBase / 腾讯云开发 TCB capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Tencent CloudBase / 腾讯云开发 TCB through natural language queries
Tencent CloudBase / 腾讯云开发 TCB MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Tencent CloudBase / 腾讯云开发 TCB to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Tencent CloudBase / 腾讯云开发 TCB to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTencent CloudBase / 腾讯云开发 TCB + Vercel AI SDK FAQ
Common questions about integrating Tencent CloudBase / 腾讯云开发 TCB MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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:
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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 Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.