DingConnect MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DingConnect 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="DingConnect Assistant",
instructions=(
"You help users interact with DingConnect. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from DingConnect"
)
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 DingConnect MCP Server
Integrate DingConnect, the world's leading mobile top-up platform, directly into your AI workflow. Access thousands of mobile operators globally, manage your top-up and data products, monitor real-time account balances, and track transaction history using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from DingConnect through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DingConnect, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Operator Discovery — List and search for mobile network operators across 150+ countries supported by DingConnect.
- Product Intelligence — Access detailed information on available top-up and data plans, including technical keys and pricing.
- Transaction Auditing — List and retrieve detailed history for past service executions and their status.
- Balance Management — Track your account credit balance and organizational limits directly via chat.
The DingConnect MCP Server exposes 10 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 DingConnect to OpenAI Agents SDK via MCP
Follow these steps to integrate the DingConnect 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 10 tools from DingConnect
Why Use OpenAI Agents SDK with the DingConnect MCP Server
OpenAI Agents SDK provides unique advantages when paired with DingConnect 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
DingConnect + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the DingConnect MCP Server delivers measurable value.
Automated workflows: build agents that query DingConnect, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries DingConnect, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through DingConnect tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query DingConnect to resolve tickets, look up records, and update statuses without human intervention
DingConnect MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect DingConnect to OpenAI Agents SDK via MCP:
check_mobile_service_status
Check if mobile services are available for a specific destination (mock logic)
get_account_credit_balance
Retrieve the current credit balance for your DingConnect account
get_api_account_metadata
Retrieve metadata and settings for your DingConnect API account
list_available_topup_products
List all available top-up and data products for a specific provider
list_mobile_operators
List all mobile network operators (providers) for a specific country
list_supported_countries
List all countries supported by DingConnect for mobile services
list_top_volume_countries
Identify countries with high service availability (mock logic)
list_transaction_history
List recent top-up transactions and service history
quick_operator_audit
Retrieve a high-level summary of operators and products for a country
search_topup_products
Search for specific top-up or data products by name keyword
Example Prompts for DingConnect in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with DingConnect immediately.
"List all mobile operators available in Brazil."
"What is my current account credit balance?"
"Show me the top-up plans for operator 'Safaricom' in Kenya."
Troubleshooting DingConnect MCP Server with OpenAI Agents SDK
Common issues when connecting DingConnect to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
DingConnect + OpenAI Agents SDK FAQ
Common questions about integrating DingConnect 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 DingConnect with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
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 DingConnect to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.