How to Use the Donately MCP in Google ADK

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

Yes, you can use the toolnames filter in your toolset configuration. This limits the agent to only the specific Donately operations you want it to perform.

Bring Donately data into Google ADK to power your enterprise agents with real-time fundraising metrics.

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Connect Donately MCP to Google ADK

Create your Vinkius account to connect Donately 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 Donately with Google ADK

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Google ADK agents with live donor data

Your agent accesses `list_active_donors` to maintain an accurate view of your community. It uses `get_donor_profile` to pull specific histories for personalized engagement. Because this runs on Google ADK, your agent can combine these insights with other cloud resources. It treats your Donately data as just another source for its reasoning engine.

Direct campaign performance analysis

Call `get_campaign_performance_summary` to feed campaign metrics directly into your agent's context. You can pair this with `list_fundraising_campaigns` to identify which initiatives require more attention. This workflow allows your agent to compare high-level performance against individual transaction data. It turns raw information into actionable summaries for your development team.

Fast search for donor records

Search through your transaction history using `search_donations_by_email` to resolve donor questions immediately. You can also use `get_donation_details` to pull up specific receipt information when needed. Efficiency is the goal here. By automating these lookups, your agent spends less time hunting for data and more time assisting your staff.

Setup guide

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

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Common questions about Donately MCP in Google ADK

You instantiate an McpToolset using the server URL and pass it to your LlmAgent. The Google ADK framework handles the connection, allowing your agent to call Donately tools by name.

Yes, you can use the tool_names filter in your toolset configuration. This limits the agent to only the specific Donately operations you want it to perform.

The server runs as an independent process, keeping your Donately API keys isolated from your Google Cloud infrastructure. It provides a clean, authenticated bridge for your agent.

All donor information, such as contact names and donation amounts, is handled in memory. No records are cached on Vinkius infrastructure, keeping your data local to your agent's runtime.

The MCP protocol detects the disconnection and notifies your agent immediately. You can implement retry logic in your agent's code to handle transient network issues.

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