How to Use the NeonCRM MCP in Google ADK

Q: How do I connect the NeonCRM MCP Server to Google ADK?

Install the package using pip install google-adk and configure McpToolset with your Vinkius HTTP transport URL. Pass this toolset directly to your LlmAgent to expose the CRM tools to Gemini.

Q: Can I restrict which NeonCRM tools are exposed to Google ADK?

Yes, you can pass a list of specific tool names to the McpToolset constructor. For instance, you can limit your Google ADK agent to only look at listdonations and getdonation if you want to restrict access to contact details. This keeps your MCP connection secure and focused.

Q: How do custom fields show up in Google ADK?

The agent calls listcustomfields to understand your database schema before running queries. This ensures Gemini accurately interprets non-standard fields when parsing donor profiles.

Q: How is my NeonCRM financial data protected within Google ADK?

Financial transactions retrieved by getdonation are secured using ephemeral, zero-trust connections managed by our MCP gateway. No financial data is ever stored on the Vinkius platform, and access token validation happens before any tool execution occurs.

Feed NeonCRM data directly into your Google ADK pipelines to build enterprise donor-intelligence agents on GCP.

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Connect NeonCRM MCP to Google ADK

Create your Vinkius account to connect NeonCRM 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 NeonCRM with Google ADK

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Query NeonCRM records alongside BigQuery via Google ADK

The `list_accounts` tool extracts your complete donor database so your Gemini agent can compare it with external analytical datasets in BigQuery. This MCP Server lets your Google ADK agent run deep reasoning loops over millions of tokens, matching offline behavioral data with real-time CRM profiles. Having both datasets in the same context window means your agent can pinpoint which donors are highly likely to upgrade their giving tier. It does this by pulling active profiles and immediately running predictive queries without manual CSV uploads.

Monitor non-profit grant pipelines in Google ADK

The `list_grants` tool fetches your active proposals and funding sources to keep your development team updated on deadlines. Your Google ADK agent reads these records and compares them with upcoming milestones to ensure no reporting requirements slip through the cracks. When the agent identifies an approaching deadline, it uses `get_account` to find the primary contact for the foundation. This keeps your pipeline moving without requiring staff to log into multiple portals.

Audit event attendance records via our MCP Server

The `get_crm_event` tool retrieves specific event details to check attendance lists against your target donor segments. Your Google ADK agent processes these event summaries, matching them with historical donation trends to evaluate event performance. By calling `list_crm_events`, the agent builds a timeline of engagement for your major donors. You get a clear picture of which events drive the highest donor retention directly inside your GCP workspace.

Setup guide

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

Install the package using `pip install google-adk` and configure `McpToolset` with your Vinkius HTTP transport URL. Pass this toolset directly to your `LlmAgent` to expose the CRM tools to Gemini.

Yes, you can pass a list of specific tool names to the `McpToolset` constructor. For instance, you can limit your Google ADK agent to only look at `list_donations` and `get_donation` if you want to restrict access to contact details. This keeps your MCP connection secure and focused.

Yes, Gemini's massive context window allows the agent to analyze the entire output of `list_memberships` in one turn. This makes it easy to find complex patterns across your entire membership database without paginating manually.

The agent calls `list_custom_fields` to understand your database schema before running queries. This ensures Gemini accurately interprets non-standard fields when parsing donor profiles.

Financial transactions retrieved by `get_donation` are secured using ephemeral, zero-trust connections managed by our MCP gateway. No financial data is ever stored on the Vinkius platform, and access token validation happens before any tool execution occurs.

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