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How to Use the Dalil AI MCP in Google ADK

Connect your Google ADK pipelines to Dalil AI for Middle Eastern market intelligence.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect Dalil AI MCP to Google ADK

Create your Vinkius account to connect Dalil AI to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Manage campaigns via Google ADK

Use `list_campaigns` to pull your current outreach status into your Gemini-powered agent. It gives the model context on what is already active. This keeps your agent informed. You stop it from sending redundant messages.

Sync contacts into Google ADK

The `create_contact` tool lets your agent add new leads as they appear in your data stream. It keeps your CRM records consistent with your agent's findings. Your agent writes the JSON, we handle the registration. It is a direct pipe for your workflow.

Deep data access for Google ADK

Query your entire `list_companies` database through the MCP Server. Your agent can perform complex reasoning over these entities. It works well with the long context window in Gemini. You get smarter decisions based on actual market data.

Setup guide

Set up Dalil AI 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 Dalil AI 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="Dalil AI_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Dalil AI 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 Dalil AI. 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 Dalil AI MCP in Google ADK

It links your specific Middle Eastern market data to the Gemini ecosystem. You get better reasoning over regional contacts.
Yes. It supports both HTTP and Stdio. You pick the transport that fits your cloud architecture.
You can. Use the tool_names filter to restrict what the agent sees. It keeps your agent focused on specific tasks.
It is lightweight and ephemeral. It handles requests as they come without blocking your main agent loop.
All message content is transmitted via secure headers. We never log your actual outreach text in our persistent storage.

Start using the Dalil AI MCP today

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

Built & Managed by Vinkius 30s setup 6 tools

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

No hosting. No infrastructure. No complex setup.
All 6 tools are live and waiting. You're up and running in seconds.

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