How to Use the eSputnik MCP in Google ADK

Q: How do I configure the eSputnik MCP toolset within Google ADK?

Run pip install google-adk and initialize McpToolset with your HTTP server parameters. Pass this toolset to your LlmAgent to instantly expose tools like searchcontacts and triggerevent to Gemini.

Q: Can Google ADK filter which eSputnik MCP tools are exposed to Gemini?

Yes, you can pass a toolnames list to McpToolset to restrict the agent. For example, you can expose only getmessagestatus and listcontacts while keeping creation tools hidden.

Q: How does Google ADK handle high-volume eSputnik contact updates?

The agent uses createcontact to push updates in real time as data flows into Vertex AI. Gemini's long-context window helps the agent reference past updates to avoid duplicate API calls.

Q: Can I trigger complex automation workflows?

Yes, use the triggerevent tool. Your agent can generate custom system events that kick off pre-built multi-channel scenarios inside your account.

Q: Where does my eSputnik account metadata and contact info go during MCP execution?

Metadata retrieved by getaccountinfo and contact details are processed in an isolated V8 sandbox. Zero-trust architecture ensures that no customer data is ever stored on Vinkius servers or used for model training.

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Connect eSputnik MCP to Google ADK

Create your Vinkius account to connect eSputnik 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 eSputnik with Google ADK

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Enterprise segmentation with Google ADK

The `list_groups` tool fetches your current contact segments so Gemini can analyze them alongside your BigQuery tables. Using the Google ADK, your agent processes millions of tokens of customer context to find high-value targets. Once identified, the agent calls `attach_to_group` to move contacts into custom campaigns. This lets you run massive, data-driven marketing efforts without exporting CSVs or writing custom sync scripts.

Omnichannel dispatch from Google Cloud

The `send_smart_send` tool triggers cross-channel messaging campaigns based on real-time database changes. Your Google ADK agent monitors cloud events, then uses this tool to fire off personalized emails and SMS. Because Gemini handles massive context windows, it can read entire chat histories before deciding to execute `send_smart_send`. This ensures your outgoing messages match the user's latest interactions.

Real-time delivery tracking via MCP Server

The `get_message_status` tool queries the exact delivery state of any email or SMS sent through your account. Your Google ADK agent monitors these statuses to flag delivery failures or bounces instantly. If a message bounces, the agent uses `detach_from_group` to halt further automated sends. This protects your sender reputation by removing dead addresses before your next scheduled broadcast.

Setup guide

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

Run `pip install google-adk` and initialize `McpToolset` with your HTTP server parameters. Pass this toolset to your `LlmAgent` to instantly expose tools like `search_contacts` and `trigger_event` to Gemini.

Yes, you can pass a `tool_names` list to `McpToolset` to restrict the agent. For example, you can expose only `get_message_status` and `list_contacts` while keeping creation tools hidden.

The agent uses `create_contact` to push updates in real time as data flows into Vertex AI. Gemini's long-context window helps the agent reference past updates to avoid duplicate API calls.

Yes, use the `trigger_event` tool. Your agent can generate custom system events that kick off pre-built multi-channel scenarios inside your account.

Metadata retrieved by `get_account_info` and contact details are processed in an isolated V8 sandbox. Zero-trust architecture ensures that no customer data is ever stored on Vinkius servers or used for model training.

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