How to Use the Tingg Insights MCP in OpenAI Agents SDK
Run production-grade payment agents across African markets with OpenAI Agents SDK and the Tingg Insights MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Tingg Insights MCP to OpenAI Agents SDK
Create your Vinkius account to connect Tingg Insights to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Secure transaction handling with OpenAI Agents SDK
Your agent initiates customer payment flows using `create_checkout_request` to generate payment links instantly. Checking the progress afterward via `get_transaction_status` ensures the money actually moved. If a customer disputes a charge, the agent triggers `initiate_payment_refund` to reverse the funds. Built-in guardrails in this MCP integration ensure these critical actions require strict verification before hitting African telco gateways.
Automated vendor payouts and execution tracking
The agent routes money to suppliers or contractors by executing `initiate_payout_request` based on your business logic. Monitoring the transfer via `get_payout_status` allows you to catch any carrier delays or failures. Financial records stay clean by auditing history using `list_disbursement_payouts`. This setup lets you pass payout tasks between specialized agents while maintaining a clear execution trace in your dashboard.
Real-time business intelligence and monitoring
The agent pulls performance figures with `get_account_performance_metrics` and reviews bank deposits via `list_account_settlements`. Active endpoints are monitored via `list_configured_webhooks` while customer logs are inspected using `list_payment_transactions`. When anomalies occur, the agent fires `send_engagement_notification` to alert your team immediately. System readiness checks run via `check_api_health` to prevent silent MCP API drop-offs.
Set up Tingg Insights MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Tingg Insights tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Tingg Insights tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Tingg Insights tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Tingg Insights Agent",
instructions="You have access to Tingg Insights tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tingg Insights. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Tingg Insights MCP in OpenAI Agents SDK
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