How to Use the Dashly MCP in Google ADK

Q: How do I give my Google ADK agent access to Dashly?

You use the McpToolset class, pointing it to the Vinkius server URL for this Dashly MCP server. Then, you pass that toolset into your LlmAgent's tools parameter.

Q: How do I restrict which Dashly tools my Google ADK agent can use?

When you create the McpToolset, you can pass a list of strings to the toolnames parameter. This whitelists only the specified Dashly tools, preventing the agent from discovering or using any others.

Connect Gemini agents to Dashly using the Google ADK. Act on your customer data right from your Google Cloud environment.

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Connect Dashly MCP to Google ADK

Create your Vinkius account to connect Dashly 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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Setup Dashly with Google ADK

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Combine Dashly Data with BigQuery

This is where the Google ADK really pays off. Your Gemini agent can fetch a user from Dashly with `get_user_details` and then cross-reference that information with your own data in BigQuery. This MCP server makes Dashly another data source for your cloud-native agent. Imagine pulling a user's purchase history from your data warehouse and using that to set custom properties in Dashly via `set_user_props`. You build a complete customer picture, right inside your Google Cloud project.

Analyze Conversations with Long Context

Use a Gemini model to process entire customer histories from Dashly. The `list_conversations` tool gives your agent the raw data it needs to get started. With a huge context window, your agent can read through dozens of past interactions to understand a customer's real problem. It's not just reacting to the last message; it's understanding the full story before using `send_reply`.

Integrate Dashly into Your Google ADK Agent

The `McpToolset` class makes it simple to add all eight Dashly operations to your `LlmAgent`. You can even use the `tool_names` filter if you only want to expose certain actions, like `get_conversation` or `track_event`. This server bridges the gap between your cloud infrastructure and your front-line customer platform. Your agent, running on Google Cloud, can now directly interact with Dashly.

Setup guide

Set up Dashly 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

Install Google ADK

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

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

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 Dashly 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="Dashly_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Dashly tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dashly. 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 Dashly MCP in Google ADK

You use the `McpToolset` class, pointing it to the Vinkius server URL for this Dashly MCP server. Then, you pass that toolset into your `LlmAgent`'s `tools` parameter.

Yes, that's a primary use case. The Google ADK is designed to work with the Gemini ecosystem, so your agent can use tools to query Dashly and then reason over that data alongside information from BigQuery.

When you create the `McpToolset`, you can pass a list of strings to the `tool_names` parameter. This whitelists only the specified Dashly tools, preventing the agent from discovering or using any others.

Yes. Because you're using the Google ADK, you can combine these Dashly tools with any other tools you build for other Google Cloud services like Vertex AI or Cloud Storage.

Vinkius operates on a zero-trust model. Your API token authenticates your requests, and the server instance handling your Dashly user details is stateless and single-tenant. Data is passed through, not stored.

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