How to Use the Salsa Engage MCP in Google ADK
Feed real-time non-profit analytics into your Google ADK pipelines to drive smarter fundraising campaigns.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Salsa Engage MCP to Google ADK
Create your Vinkius account to connect Salsa Engage to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Query Salsa Engage donor data from Google ADK
The `list_supporters` tool exposes your entire donor base to Gemini's one-million-token context window. This tool lets your enterprise agent analyze donor behavior at scale. Combining this MCP Server with your existing BigQuery data pipelines makes segment analysis straightforward. Your agent can run deep cross-referencing tasks without manual exports.
Track offline donations inside your MCP Server setup
The `list_offline_donations` tool extracts physical check and cash records directly for your analytical models. This tool ensures your fundraising reports include offline contributions. Your agent uses these inputs to calculate accurate return-on-investment metrics. You don't have to worry about missing offline revenue when planning your next direct mail campaign.
Automate supporter segmentation
The `list_supporter_segments` tool reveals how your audience is divided so your agent can target outreach. This tool lets you check which donors belong to specific advocacy groups. You pass the toolset parameter to your Google ADK agent to expose these functions. From there, the agent handles complex supporter sorting based on real-time engagement history.
Set up Salsa Engage MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Salsa Engage tools in your ADK agent.
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="Salsa Engage_agent",
model="gemini-2.0-flash",
instruction="You have access to Salsa Engage tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Salsa Engage. 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 Salsa Engage MCP in Google ADK
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