Tencent COS / 腾讯云对象存储 MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Tencent COS / 腾讯云对象存储 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 COS / 腾讯云对象存储, 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 COS / 腾讯云对象存储 MCP Server
Empower your AI agent to orchestrate your cloud storage infrastructure and asset management with Tencent COS (对象存储), the premier storage service in China. By connecting Tencent COS to your agent, you transform complex file operations, metadata auditing, and storage lifecycle management into a natural conversation. Your agent can instantly upload text assets, retrieve detailed object headers, list directory contents with delimiter support, and monitor storage status without you ever needing to navigate the comprehensive Tencent Cloud Console. Whether you are conducting a digital asset audit or coordinating a content update, your agent acts as a real-time cloud storage coordinator, providing accurate results from a single, authorized source.
The Vercel AI SDK gives every Tencent COS / 腾讯云对象存储 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Asset Orchestration — Upload, delete, and manage text-based objects across your Tencent COS buckets.
- Metadata Auditing — Retrieve detailed HTTP headers and verify object existence through secure metadata queries.
- Inventory Control — List objects with advanced filtering (prefix, delimiter) to organize your storage structure.
- Public URL Generation — Automatically generate public endpoints for your shared cloud assets.
- System Monitoring — Verify bucket configuration and API connectivity to ensure operational continuity.
The Tencent COS / 腾讯云对象存储 MCP Server exposes 10 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 COS / 腾讯云对象存储 to Vercel AI SDK via MCP
Follow these steps to integrate the Tencent COS / 腾讯云对象存储 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 10 tools from Tencent COS / 腾讯云对象存储 and passes them to the LLM
Why Use Vercel AI SDK with the Tencent COS / 腾讯云对象存储 MCP Server
Vercel AI SDK provides unique advantages when paired with Tencent COS / 腾讯云对象存储 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 COS / 腾讯云对象存储 integration everywhere
Built-in streaming UI primitives let you display Tencent COS / 腾讯云对象存储 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 COS / 腾讯云对象存储 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Tencent COS / 腾讯云对象存储 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Tencent COS / 腾讯云对象存储 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Tencent COS / 腾讯云对象存储 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Tencent COS / 腾讯云对象存储 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Tencent COS / 腾讯云对象存储 through natural language queries
Tencent COS / 腾讯云对象存储 MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Tencent COS / 腾讯云对象存储 to Vercel AI SDK via MCP:
check_object_exists
Check if an object exists
copy_object
Copy an object within the bucket
delete_object
Delete an object from COS
download_object_text
Download an object as text
get_bucket_acl
Get bucket access permissions
get_object_metadata
Get object metadata (HEAD)
head_bucket
Check if the bucket exists and is accessible
list_objects
Use prefix to filter by path. List objects in the COS bucket
list_root_objects
List top-level objects and folders
upload_object
Max 5GB per request. Upload text content to COS
Example Prompts for Tencent COS / 腾讯云对象存储 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Tencent COS / 腾讯云对象存储 immediately.
"List all files in the root of my Tencent COS bucket."
"Check if the file 'backups/db_init.sql' exists in COS."
"Get the metadata for 'static/css/main.css'."
Troubleshooting Tencent COS / 腾讯云对象存储 MCP Server with Vercel AI SDK
Common issues when connecting Tencent COS / 腾讯云对象存储 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTencent COS / 腾讯云对象存储 + Vercel AI SDK FAQ
Common questions about integrating Tencent COS / 腾讯云对象存储 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 COS / 腾讯云对象存储 with your favorite client
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Connect Tencent COS / 腾讯云对象存储 to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.