How to Use the Bloomerang MCP in Google ADK

Q: Can I filter which Bloomerang tools my Google ADK agent uses?

Yes, you use the toolnames filter during setup. This restricts the agent to only the specific CRM functions you want it to access.

Connect your Google ADK agent to Bloomerang for direct CRM access.

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Connect Bloomerang MCP to Google ADK

Create your Vinkius account to connect Bloomerang 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 Bloomerang with Google ADK

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Google ADK agents reading donor records

Your agent uses `get_constituent` to pull donor profiles into its long-context window. It processes thousands of data points, allowing for deep analysis of giving patterns. This setup bridges the gap between your cloud infrastructure and donor data. You get the benefits of Gemini reasoning applied directly to your CRM records.

Query transaction history via Google ADK

Use `list_transactions` to feed historical gift data into your agent logic. It finds trends or identifies lapsed donors by cross-referencing your CRM data with other cloud-hosted sources. Your agent sorts through these gifts in real-time. It provides clear insights into which funds or appeals generated the most revenue, all within your existing Google Cloud workflow.

Manage fundraising tasks with Google ADK

Your agent calls `list_tasks` to organize follow-ups and donor outreach. It tracks the status of every interaction, keeping your team on schedule without manual updates. This integration keeps the agent focused on high-priority tasks. It reads notes from `list_notes` to ensure every communication feels personal and informed.

Setup guide

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

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Common questions about Bloomerang MCP in Google ADK

You configure a McpToolset using your Vinkius endpoint. This allows the Google ADK agent to call tools like `list_constituents` as if they were native functions.

Yes, you use the tool_names filter during setup. This restricts the agent to only the specific CRM functions you want it to access.

All traffic goes through a zero-trust tunnel provided by Vinkius. Your sensitive constituent names and donation amounts are encrypted in transit and never cached by the infrastructure provider.

The server returns data in structured formats that the Gemini model parses easily. It handles large lists of transactions or donors efficiently within its context limits.

The ephemeral session ends and the connection closes. No state persists on the server side, ensuring your CRM data remains isolated to the duration of the agent task.

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