How to Use the Insightly MCP in Google ADK

Q: How do I set up Insightly with the Google ADK framework?

Use the McpToolset class with your server URL. Pass this object into your LlmAgent tools array to start querying CRM records immediately.

Connect your Google ADK agents to Insightly to pull CRM data straight into your Gemini-powered workflows.

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Connect Insightly MCP to Google ADK

Create your Vinkius account to connect Insightly 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 Insightly with Google ADK

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Sync CRM lists with Google ADK

Get your CRM data into your Gemini context window. Use `list_organisations` and `list_leads` to pull active records into your agent's memory for deep reasoning. The server bridges the gap between your CRM and Google Cloud infrastructure. It makes CRM records available as structured tool outputs for your agents to process.

Internal team tracking

Query your CRM team structure with `list_teams` and `list_users`. This allows your agent to map project ownership and identify the right point of contact within your company. Your agent gets a clear view of your internal hierarchy. It uses this data to route tasks or summarize project updates based on real-time CRM definitions.

Project management automation

Use `list_projects` and `list_events` to keep your agents updated on deadlines. The MCP Server fetches these lists, allowing your agent to reason over your calendar and project timeline. This data feeds directly into your Gemini model. It helps your agent make sense of your current workload without needing manual data exports.

Setup guide

Set up Insightly 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 Insightly 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="Insightly_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Insightly tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Insightly MCP in Google ADK

Use the `McpToolset` class with your server URL. Pass this object into your `LlmAgent` tools array to start querying CRM records immediately.

It is built for that exact purpose. The server is designed for reliable, headless interaction with your CRM data during agent execution.

You can use a tool name filter to limit access. This ensures your agent only interacts with the CRM endpoints you explicitly permit.

Yes. Since it uses standard HTTP, it fits right into your existing agent infrastructure on Google Cloud.

The server transmits contact and opportunity records over encrypted channels. It does not store or log your CRM data, keeping your sensitive information isolated.

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