How to Use the crm4 solution MCP in Google ADK

Q: How do I connect the Google ADK to my crm4 solution instance?

You use the McpToolset class from the Google ADK library. Just provide it with the Vinkius endpoint URL for the crm4 solution server. Then, you pass that toolset to your LlmAgent and it's ready to go.

Q: Can I use Gemini to analyze call logs from crm4 solution with the Google ADK?

Absolutely. Your agent can use the listcalls tool to pull the logs. Since the Google ADK is designed for Gemini, you can feed that data directly into the model to analyze call outcomes, durations, or agent performance on your crm4 solution campaigns.

Q: Can I limit which tools my agent can use?

Yes. The McpToolset in the Google ADK has an optional toolnames filter. You can pass it a list of allowed operations, like 'getcontact', 'searchcontacts', to prevent the agent from using more destructive tools like deletecontact.

Connect Gemini agents to your crm4 solution data on Google Cloud with the Google ADK.

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Connect crm4 solution MCP to Google ADK

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Setup crm4 solution with Google ADK

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Analyze CRM Activity with Gemini

This MCP Server exposes your crm4 solution data so Gemini can work with it. Your agent can pull thousands of records using tools like `list_contacts` or `list_calls`. The real power comes when you combine this with your own data in Google Cloud. Imagine feeding your agent a massive log from `list_calls`. With Google ADK, it can cross-reference that activity with customer data you have in BigQuery. Gemini's long-context window lets it find patterns across both datasets, like which call campaigns are generating the most valuable leads.

Manage Large-Scale Campaigns

Give your Gemini agent a high-level goal, not a list of commands. It can use `list_campaigns` and `list_contact_lists` to get a complete picture of your crm4 solution marketing setup in a single pass. There's no need for repeated calls to figure out what's going on. Because Gemini can handle over a million tokens of context, your agent can reason about the entire campaign structure at once. It can identify which contact lists are stale or which campaigns are overlapping, then suggest a plan to clean them up. It's strategic work, handled by the agent.

Bridge Your Google Cloud Data with this MCP Server

Use this MCP Server as the action arm for your Google-native agents. Your agent can be triggered by events anywhere in Google Cloud—a new file in a bucket, a new row in a BigQuery table—and then act inside your CRM. For instance, a new lead from a Google Form can trigger an agent to run `create_contact` in crm4 solution. The Google ADK makes this connection feel native. You're not just reading data; you're building a pipeline that flows from your cloud environment straight into your marketing operations.

Setup guide

Set up crm4 solution 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 crm4 solution 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="crm4 solution_agent",
    model="gemini-2.0-flash",
    instruction="You have access to crm4 solution tools via MCP.",
    tools=mcp_tools,
)

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Common questions about crm4 solution MCP in Google ADK

You use the `McpToolset` class from the Google ADK library. Just provide it with the Vinkius endpoint URL for the crm4 solution server. Then, you pass that toolset to your `LlmAgent` and it's ready to go.

Absolutely. Your agent can use the `list_calls` tool to pull the logs. Since the Google ADK is designed for Gemini, you can feed that data directly into the model to analyze call outcomes, durations, or agent performance on your crm4 solution campaigns.

The main advantage is integrating crm4 solution with the rest of your Google Cloud data. Your agent can reason over data in BigQuery and your CRM simultaneously. This lets you make smarter decisions about your crm4 solution campaigns based on all your business data, not just what's in the CRM.

Yes. The `McpToolset` in the Google ADK has an optional `tool_names` filter. You can pass it a list of allowed operations, like `['get_contact', 'search_contacts']`, to prevent the agent from using more destructive tools like `delete_contact`.

Yes. The MCP Server accesses your crm4 solution contact records—names, phone numbers, emails—and call center activity. Vinkius processes these requests in isolated, single-tenant sandboxes. Your credentials and your customers' personal data are never logged or stored.

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