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Vinkius runs on Google ADK

How to Use the Tingg Insights MCP in Google ADK

Connect African payment data directly to your enterprise pipelines using Google ADK and the Tingg Insights MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on Google ADK

Connect Tingg Insights MCP to Google ADK

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

GDPR Included with Plan

Key Capabilities

High-volume transaction analytics on Google ADK

Your agent pulls raw transaction histories using `list_payment_transactions` to feed your analytical models. Tracking overall business health is done via `get_account_performance_metrics` to spot regional payment trends. Retrieving bank deposit records with `list_account_settlements` simplifies account reconciliation. This matches your payment data with existing BigQuery datasets, taking advantage of your model's large context window to process thousands of entries at once.

Direct checkout and payment tracking

The agent creates customer payment sessions using `create_checkout_request` directly from user chat prompts. Verifying payments is handled by querying `get_transaction_status` to ensure the mobile money transfer completed. When an order is canceled, the agent initiates `initiate_payment_refund` to return the funds. By using this MCP Server, you can restrict these tools so only verified administrative agents can execute them.

Automated disbursement flows and notifications

The agent sends funds to mobile wallets or bank accounts with `initiate_payout_request` and tracks the transfer via `get_payout_status`. Auditing payment history is done using `list_disbursement_payouts` to verify bulk transfers. Endpoint configurations are verified using `list_configured_webhooks` while customers receive alerts via `send_engagement_notification` when transfers land. Running `check_api_health` maintains connection stability across East African networks.

Setup guide

Set up Tingg Insights MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Tingg Insights tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Tingg Insights_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Tingg Insights tools via MCP.",
    tools=mcp_tools,
)

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.

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 Google ADK

Initialize McpToolset with your Vinkius HTTP endpoint. Pass this toolset into your LlmAgent constructor to expose the tools to your model.
Yes. Use the tool names filter in the toolset configuration to expose only specific tools to your agent.
The framework takes advantage of large context windows. This lets your agent parse thousands of transaction records in a single query.
Yes. The toolset supports both local Stdio execution and cloud-hosted HTTP endpoints managed by the MCP host.
All customer phone numbers, transaction IDs, and settlement records are processed within a zero-trust environment. Vinkius executes the code in ephemeral containers, ensuring your payment credentials never leak.

Start using the Tingg Insights MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Tingg Insights. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
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