How to Use the Nimble CRM (Social Sales CRM & Contacts API) MCP in Google ADK

Q: Can I restrict tool access for Nimble CRM (Social Sales CRM & Contacts API) in the Google ADK?

Yes. You can use the optional toolnames filter when initializing your McpToolset. This lets you expose safe tools like listcontacts while hiding destructive tools like deletecontacts.

Q: Can I combine Nimble CRM (Social Sales CRM & Contacts API) data with Vertex AI using Google ADK?

Yes. You can use listcontacts to pull raw CRM data, then pass that structured payload directly to Vertex AI models for predictive lead scoring or churn analysis.

Deploy enterprise Gemini agents with the Google ADK to manage your Nimble CRM contacts.

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Connect Nimble CRM (Social Sales CRM & Contacts API) MCP to Google ADK

Create your Vinkius account to connect Nimble CRM (Social Sales CRM & Contacts API) 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 Nimble CRM (Social Sales CRM & Contacts API) with Google ADK

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Perplexity

Feed contact profiles into Gemini's long context

The `get_contact` tool pulls complete profile details for individual records in your CRM. Your Gemini agent uses this MCP Server to analyze long-term communication history, processing up to a million tokens of context in a single run. This lets you generate deeply personalized outreach emails based on actual past interactions. You configure this by passing the `McpToolset` directly into your `LlmAgent`. The ADK handles the transport layer so your model can query CRM data without custom API wrappers.

Sync CRM data with BigQuery via this MCP Server

The `list_contacts` tool retrieves your entire list of contacts to feed downstream analytics pipelines. You can write a Python script that pulls these records and updates your BigQuery tables. This keeps your cloud data warehouse in sync with your active sales activity. Because the Google ADK integrates with Vertex AI, you can run automated data-cleaning pipelines. The agent identifies anomalies in your contact list and flags them for manual review.

Identify the active user profile instantly

The `get_myself` tool retrieves the authenticated user's profile information from the CRM. Your agent calls this tool to verify permissions, sign off on outgoing communications, or log which team member initiated an action. It ensures all automated CRM updates are attributed to the correct seat. This tool requires zero arguments. The ADK executes the call, parses the JSON payload, and returns the active user's email and ID to your agent's context.

Setup guide

Set up Nimble CRM (Social Sales CRM & Contacts API) 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 Nimble CRM (Social Sales CRM & Contacts API) 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="Nimble CRM (Social Sales CRM & Contacts API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Nimble CRM (Social Sales CRM & Contacts API) 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 Nimble 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 Nimble CRM (Social Sales CRM & Contacts API) MCP in Google ADK

Install the ADK using pip, then initialize the McpToolset with your Vinkius HTTP transport URL. Pass this toolset into your LlmAgent constructor to expose the tools to Gemini.

Yes. You can use the optional tool_names filter when initializing your McpToolset. This lets you expose safe tools like `list_contacts` while hiding destructive tools like `delete_contacts`.

Yes, the ADK supports both transport protocols. For hosted Vinkius environments, you will use the Streamable HTTP transport to connect your enterprise agents securely.

Yes. You can use `list_contacts` to pull raw CRM data, then pass that structured payload directly to Vertex AI models for predictive lead scoring or churn analysis.

Your CRM data stays inside your Google Cloud perimeter and the secure Vinkius V8 sandbox. We do not store, log, or inspect the contact details retrieved by the tools. All credentials are encrypted at rest.

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