How to Use the Blackbaud MCP in Google ADK

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

Yes, you can pass a toolnames filter to the toolset. This restricts the agent to only the specific functions you choose.

Run Blackbaud operations inside your Google ADK environment with native tool support.

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Connect Blackbaud MCP to Google ADK

Create your Vinkius account to connect Blackbaud 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 Blackbaud with Google ADK

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Sync constituents with Google ADK

Use `create_constituent` to add new records from your agent. If you need to change existing data, `update_constituent` handles the sync. This keeps your CRM clean without extra code. It works natively within your existing Google Cloud agent architecture.

Log gifts instantly

Your agent records incoming donations by calling `create_gift`. You can then verify the status immediately using `get_gift`. This removes the lag between donation receipt and database entry. It is perfect for agents managing high-volume fundraising streams.

Retrieve school data for agents

Access your education records via `list_school_users` and `list_academic_sections`. Your agent gets the exact data it needs to build reports. This integration allows your agent to connect academic context with donor history. It is built to run on Google Cloud infrastructure.

Setup guide

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

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Why Choose Vinkius

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Blackbaud MCP in Google ADK

You initialize the McpToolset with your Vinkius server URL. Once configured, your agent discovers and calls the tools automatically.

Yes, you can pass a tool_names filter to the toolset. This restricts the agent to only the specific functions you choose.

The Vinkius-hosted environment ensures high availability. It is designed for production use cases that require reliable uptime.

All data flows through an ephemeral, isolated sandbox. Vinkius strips sensitive credentials before your agent even sees the connection.

The server treats constituent names as standard text fields. Access is strictly limited to the specific calls your agent makes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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