3,400+ MCP servers ready to use
Vinkius

Tingg Insights MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Check Api Health, Create Checkout Request, Get Account Performance Metrics, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Tingg Insights app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="Tingg Insights Assistant",
            instructions=(
                "You help users interact with Tingg Insights. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
Tingg Insights
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
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 Tingg Insights MCP Server

Connect your Tingg (Cellulant) payments account to any AI agent and simplify how you collect payments, manage disbursements, and track financial settlements across Africa through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Tingg Insights through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Tingg Insights, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Transaction Oversight — List and search all payment transactions and retrieve real-time status for specific checkout requests.
  • Disbursement Control — Initiate and monitor payouts (B2C/B2B) to recipients across supported mobile money and bank channels.
  • Settlement Tracking — List bank settlements to monitor when funds are moved from your Tingg account to your local bank.
  • Payment Initiation — Programmatically create new checkout requests to collect payments via mobile money, card, or bank.
  • Engagement Automation — Send transactional SMS or Email notifications to users via the Tingg Engage service.
  • Performance Metrics — Retrieve high-level account metrics and payment success rates to monitor your business health.

The Tingg Insights MCP Server exposes 12 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.

All 12 Tingg Insights tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Tingg Insights through Vinkius, your AI agent gets direct access to every tool listed below — spanning african-payments, payment-gateway, mobile-money, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_api_health

Verify Tingg API connectivity

create_checkout_request

Initiate a new payment request

get_account_performance_metrics

Retrieve performance stats

get_payout_status

Check status of a payout

get_transaction_status

Check status of a specific transaction

initiate_payment_refund

Request a refund

initiate_payout_request

Send money to a recipient

list_account_settlements

List bank settlements

list_configured_webhooks

List active webhooks

list_disbursement_payouts

List all payouts/disbursements

list_payment_transactions

List recent payment transactions

send_engagement_notification

Send SMS or Email alert

Connect Tingg Insights to OpenAI Agents SDK via MCP

Follow these steps to wire Tingg Insights into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from Tingg Insights

Why Use OpenAI Agents SDK with the Tingg Insights MCP Server

OpenAI Agents SDK provides unique advantages when paired with Tingg Insights through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Tingg Insights + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Tingg Insights MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Example Prompts for Tingg Insights in OpenAI Agents SDK

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

01

"List the last 5 payment transactions in my Tingg account."

02

"Show me my account performance metrics."

03

"Check the status of payout 'payout_10293'."

Troubleshooting Tingg Insights MCP Server with OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

Tingg Insights + OpenAI Agents SDK FAQ

Common questions about integrating Tingg Insights MCP Server with OpenAI Agents SDK.

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.