Tencent COS / 腾讯云对象存储 MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Tencent COS / 腾讯云对象存储 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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-cos": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Tencent COS / 腾讯云对象存储 Agent",
instructions:
"You help users interact with Tencent COS / 腾讯云对象存储 " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Tencent COS / 腾讯云对象存储?"
);
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Tencent COS / 腾讯云对象存储 tool infrastructure. Connect 10 tools through 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
- 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 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 COS / 腾讯云对象存储 to Mastra AI via MCP
Follow these steps to integrate the Tencent COS / 腾讯云对象存储 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 10 tools from Tencent COS / 腾讯云对象存储 via MCP
Why Use Mastra AI with the Tencent COS / 腾讯云对象存储 MCP Server
Mastra AI provides unique advantages when paired with Tencent COS / 腾讯云对象存储 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Tencent COS / 腾讯云对象存储 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 COS / 腾讯云对象存储 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 COS / 腾讯云对象存储 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Tencent COS / 腾讯云对象存储 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Tencent COS / 腾讯云对象存储, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Tencent COS / 腾讯云对象存储 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 COS / 腾讯云对象存储 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Tencent COS / 腾讯云对象存储 tools alongside other MCP servers
Tencent COS / 腾讯云对象存储 MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Tencent COS / 腾讯云对象存储 to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Tencent COS / 腾讯云对象存储 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTencent COS / 腾讯云对象存储 + Mastra AI FAQ
Common questions about integrating Tencent COS / 腾讯云对象存储 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?
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Connect Tencent COS / 腾讯云对象存储 to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.