How to Use the Amplemarket MCP in Google ADK

Q: Can I use Google ADK to filter Amplemarket contacts before enrichment?

Yes. You can use listcontacts to retrieve existing profiles, then let Gemini filter them using your BigQuery customer data before running enrichperson on new prospects with this MCP toolset.

Run high-volume prospecting pipelines by connecting Amplemarket to your Google ADK enterprise agents.

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Connect Amplemarket MCP to Google ADK

Create your Vinkius account to connect Amplemarket 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 Amplemarket with Google ADK

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Your Gemini-powered agent uses the `enrich_company` tool to match accounts against your existing BigQuery data warehouses. The tool takes basic company names or domains and returns fresh firmographic profiles to update your records. This MCP Server handles the connection details so your agent can focus on processing massive batches. Gemini's million-token context window allows it to analyze hundreds of enriched profiles simultaneously to find the best fits.

Reconstruct buyer profiles automatically

The `enrich_person` and `get_contact` tools let your enterprise agent reconstruct incomplete buyer profiles. By feeding raw names and company domains into these tools, the agent retrieves verified phone numbers and direct email addresses. You can restrict which tools are exposed by passing a specific tool list to the ADK toolset setup. This keeps the agent focused only on contact retrieval, saving API costs and reducing execution errors.

Audit active sequences from your console

Your agent monitors ongoing outbound campaigns by querying `list_sequences` and pulling live performance metrics. This tool exposes active cadences, allowing the agent to determine which messaging angles yield the highest response rates. By comparing this live data with your internal analytics, the agent can recommend adjustments to your target lists. The entire process runs within your Google Cloud infrastructure, keeping your sales operations secure.

Setup guide

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

You initialize the toolset using the streamable HTTP transport pointing to your Vinkius endpoint. Pass that toolset to your LlmAgent, and Gemini will automatically detect tools like `enrich_company`.

Yes. You can use `list_contacts` to retrieve existing profiles, then let Gemini filter them using your BigQuery customer data before running `enrich_person` on new prospects with this MCP toolset.

The ADK relies on the underlying HTTP transport to handle connection states. If the server hits a rate limit, the client manages retry intervals to ensure your data pipelines don't drop updates.

Yes. When defining your toolset in Python, use the optional tool names parameter to expose only specific tools like `get_contact` while hiding configuration tools.

Yes. Vinkius runs the MCP Server in an ephemeral sandbox with zero-trust architecture. Your outbound sequences and contact lists are processed in memory and never stored, maintaining compliance with enterprise data standards.

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