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How to Use the Nutshell CRM MCP in Google ADK

Feed Nutshell CRM data directly into Gemini long-context models using the Google ADK to automate enterprise sales operations.

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Google ADK

Connect Nutshell CRM MCP to Google ADK

Create your Vinkius account to connect Nutshell CRM 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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Search contacts with Google ADK

The `list_contacts` tool retrieves your customer database to find specific people and their associated company roles. This MCP Server works with `get_contact_details` to pull email addresses, phone numbers, and past interactions into your agent's context. This setup lets your Gemini agent analyze thousands of contacts at once. Because the framework supports massive token limits, you can pass entire contact lists to find common industry patterns or target accounts.

Retrieve full lead histories

The `list_leads` tool fetches active sales opportunities, listing their values, assigned reps, and current stages. Your agent uses `get_lead_details` to dig into individual deal notes, finding exactly why a sale stalled. You can write scripts that combine this CRM data with your BigQuery datasets. The agent compares historical win rates against current pipeline stages to predict which deals are most likely to close this month.

Track and categorize team activities

The `list_activities` tool pulls all scheduled tasks, phone calls, and email logs from your sales team's calendar. Accessing these logs via MCP relies on `list_activity_types` to differentiate between a cold call and a formal demo. Your agent checks these logs to monitor team performance. It identifies accounts that haven't been contacted in thirty days, automatically drafting follow-up tasks for the assigned sales representative.

Setup guide

Set up Nutshell CRM 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 Nutshell CRM 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="Nutshell CRM_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Nutshell CRM 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 Nutshell CRM. 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 Nutshell CRM MCP in Google ADK

Create an `McpToolset` instance pointing to your Vinkius HTTP URL. Pass this toolset into your `LlmAgent` configuration to expose the CRM endpoints to your Gemini model.
Yes, you can pass a specific list of tool names to the toolset parameter. This prevents a general agent from accessing sensitive endpoints like `list_leads` while still allowing it to search contacts.
The agent calls `list_accounts` to grab high-level company records, then feeds those records directly into Gemini's large context window. This lets the model reason across your entire account list without running out of memory.
Yes, the server exposes `list_custom_fields` to the agent. This allows your Gemini agent to understand your unique CRM setup and map custom sales stages accurately.
All lead details and financial values are processed in-memory within secure V8 isolates. The MCP Server handles credentials via direct token passing, ensuring your sales pipeline data is never cached or used for model training.

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