Can my AI automatically find the details of an assistant just by providing its ID?

Yes! Use the `get_assistant_info` tool with the Assistant ID. Your agent will respond with complete metadata, configuration, and capabilities connected to that specific agent in seconds.

How do I check the remaining token quota for my account?

Simply ask the agent to run the `get_usage` action. It will retrieve the current token consumption statistics and the remaining quota provided by the Yuanqi platform.

Can I upload multiple files for my assistant's knowledge base?

Yes! Use the `upload_file` tool for each document you want to add. After uploading, use the `list_files` tool to verify they are processed and available for RAG operations.

Tencent Yuanqi MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes

Name: Tencent Yuanqi
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 9 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Tencent Yuanqi through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Yuanqi Assistant",
            instructions=(
                "You help users interact with Tencent Yuanqi. "
                "You have access to 9 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Tencent Yuanqi"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Yuanqi MCP Server

Connect your AI agents to Tencent Yuanqi (腾讯元器), the official intelligent agent platform powered by the Hunyuan large model. This MCP provides 9 tools for comprehensive agent management and high-performance RAG operations.

The OpenAI Agents SDK auto-discovers all 9 tools from Tencent Yuanqi through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Tencent Yuanqi, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Agent Interaction — Chat with published agents using persistent sessions and context tracking
Document Lifecycle — Upload, list, and delete documents for agent knowledge bases with real-time status tracking
Assistant Profiling — Retrieve metadata and configuration for any assistant in your workspace
Usage Analysis — Monitor token consumption and remaining quota programmatically

The Tencent Yuanqi MCP Server exposes 9 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 Yuanqi to OpenAI Agents SDK via MCP

Follow these steps to integrate the Tencent Yuanqi 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 9 tools from Tencent Yuanqi

Why Use OpenAI Agents SDK with the Tencent Yuanqi MCP Server

OpenAI Agents SDK provides unique advantages when paired with Tencent Yuanqi 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 Yuanqi + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Tencent Yuanqi MCP Server delivers measurable value.

Automated workflows: build agents that query Tencent Yuanqi, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Tencent Yuanqi, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Tencent Yuanqi tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Tencent Yuanqi to resolve tickets, look up records, and update statuses without human intervention

Tencent Yuanqi MCP Tools for OpenAI Agents SDK (9)

These 9 tools become available when you connect Tencent Yuanqi to OpenAI Agents SDK via MCP:

chat

Requires assistant_id and user_id. Chat with a Tencent Yuanqi assistant

delete_file

Delete an uploaded file

get_assistant_info

Get details about a specific assistant

get_file_info

Get metadata for a specific file

get_file_status

Check file processing status

get_usage

Check API usage and quota

list_assistants

List your own assistants

list_files

List uploaded files

upload_file

) to the Yuanqi platform for use in assistant knowledge bases. Upload a document for assistant context

Example Prompts for Tencent Yuanqi in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Tencent Yuanqi immediately.

"Chat with assistant 'assistant_123' and ask 'Explain the concept of deep learning'."

"Upload the file 'specs.pdf' to my Yuanqi account."

"List all assistants in my account."

Troubleshooting Tencent Yuanqi MCP Server with OpenAI Agents SDK

Common issues when connecting Tencent Yuanqi to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Tencent Yuanqi + OpenAI Agents SDK FAQ

Common questions about integrating Tencent Yuanqi MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.