How to Use the Tingg Insights MCP in AutoGen

Run multi-agent payment debates and automated consensus-driven payouts in AutoGen.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Tingg Insights MCP to AutoGen

Create your Vinkius account to connect Tingg Insights to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Tingg Insights with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Coordinate checkout requests across AutoGen agents

This MCP Server allows your AutoGen agent swarm to collaborate on financial operations. A coordinator agent checks system availability using `check_api_health` before initiating any payments. Once approved, it triggers `create_checkout_request` to generate payment links when the team agrees. A separate auditor agent monitors the transaction lifecycle. By verifying payment completion using `get_transaction_status`, it audits recent activity with `list_payment_transactions` to flag anomalies before they escalate.

Resolve performance disputes inside AutoGen teams

Let your agents debate regional performance using real-time merchant metrics from this MCP tool. The tool `get_account_performance_metrics` provides live transaction volume and success rates directly to your AutoGen analysis agents. Our setup allows them to compare performance across different markets without manual intervention. Your agents stay coordinated by monitoring external events. To do this, they inspect active notifications using `list_configured_webhooks` and reconcile bank deposits with `list_account_settlements`. We ensure your financial and engineering agents always have a unified view of the system.

Automate payouts and refunds through agent consensus

Execute mobile money transfers only after your security and finance agents agree. One agent triggers `initiate_payout_request` to send the funds, while another tracks progress using `get_payout_status`. If a dispute arises, a compliance agent invokes `initiate_payment_refund` to reverse the transaction. The agents maintain a complete audit trail of all operations. By retrieving historical transfer logs using `list_disbursement_payouts`, they notify customers via `send_engagement_notification` once consensus is reached. We remove manual bottlenecks from your payout pipelines.

Setup guide

Set up Tingg Insights MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Tingg Insights tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Tingg Insights_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Tingg Insights data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Tingg Insights_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Tingg Insights data")
    print(result.messages[-1].content)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Tingg Insights now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Tingg Insights MCP in AutoGen

They pass tool outputs back and forth to reach consensus. For example, a finance agent can request a payout, while a compliance agent verifies the status before confirming.

Yes, you can set up a debate where one agent flags transaction delays and another checks API health to determine if the issue is a gateway failure.

Use the AutoGen MCP adapter to import the tools directly from your Vinkius endpoint. The adapter maps the JSON schemas automatically so your agents can call them natively.

Yes, your agents can execute payout requests in the background and poll for status updates while continuing other conversational tasks.

All mobile money credentials, wallet numbers, and transaction logs are processed through secure, short-lived MCP sandbox isolates. Vinkius enforces end-to-end encryption so your private financial data is never exposed to third parties.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript