Tencent CloudBase / 腾讯云开发 TCB MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Tencent CloudBase / 腾讯云开发 TCB through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Tencent CloudBase / 腾讯云开发 TCB Assistant",
instructions=(
"You help users interact with Tencent CloudBase / 腾讯云开发 TCB. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Tencent CloudBase / 腾讯云开发 TCB"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 8 tools from Tencent CloudBase / 腾讯云开发 TCB through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Tencent CloudBase / 腾讯云开发 TCB, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Tencent CloudBase / 腾讯云开发 TCB MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Tencent CloudBase / 腾讯云开发 TCB
Why Use OpenAI Agents SDK with the Tencent CloudBase / 腾讯云开发 TCB MCP Server
OpenAI Agents SDK provides unique advantages when paired with Tencent CloudBase / 腾讯云开发 TCB through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Tencent CloudBase / 腾讯云开发 TCB + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Tencent CloudBase / 腾讯云开发 TCB MCP Server delivers measurable value.
Automated workflows: build agents that query Tencent CloudBase / 腾讯云开发 TCB, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Tencent CloudBase / 腾讯云开发 TCB, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Tencent CloudBase / 腾讯云开发 TCB tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Tencent CloudBase / 腾讯云开发 TCB to resolve tickets, look up records, and update statuses without human intervention
Tencent CloudBase / 腾讯云开发 TCB MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Tencent CloudBase / 腾讯云开发 TCB to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Tencent CloudBase / 腾讯云开发 TCB to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Tencent CloudBase / 腾讯云开发 TCB + OpenAI Agents SDK FAQ
Common questions about integrating Tencent CloudBase / 腾讯云开发 TCB MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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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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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.