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How to Use the 6sense MCP in Google ADK

Connect Gemini's 1M token context to 6sense data using the Google ADK for enterprise lead scoring.

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Google ADK

Connect 6sense MCP to Google ADK

Create your Vinkius account to connect 6sense 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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Feed 6sense firmographics into Google ADK pipelines

This MCP Server gives your Gemini models direct access to `enrich_company`. Your agent can pull deep technographic data for a domain and dump it straight into its massive context window. Because Google ADK integrates with your cloud stack, you can write agents that query 6sense and write the results directly to BigQuery. It makes account enrichment a background task that Gemini handles without manual code.

Map anonymous IP addresses to BigQuery tables

Use the `identify_company` tool inside your Gemini agent to resolve server logs. The agent reads incoming IP addresses, resolves them to actual company names, and updates your marketing records. You configure this by passing the MCP toolset to your LlmAgent. The agent decides when to run the lookup based on the incoming data stream, keeping your cloud database updated.

Filter 6sense tools for specific Google ADK agents

You do not have to expose every tool to every agent. Use the ADK tool filtering to only give your triage agent access to `enrich_person` and `list_segments`. This keeps your Gemini models focused and prevents them from wasting tokens. Your agents only run the specific marketing automation lookups they need for their current task.

Setup guide

Set up 6sense 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 6sense 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="6sense_agent",
    model="gemini-2.0-flash",
    instruction="You have access to 6sense 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 6sense. 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 6sense MCP in Google ADK

Install the google-adk package and use McpToolset with the Vinkius HTTP URL. Pass that toolset to your LlmAgent constructor to expose the tools.
Yes, use the optional tool_names filter when initializing your McpToolset. This lets you restrict access so an agent can only call `list_segments` and not other tools.
The ADK relies on the underlying Gemini model's reasoning to plan calls. You should configure retry logic in your Google Cloud environment to handle rate limits during heavy `enrich_company` batch jobs.
Yes, you can build an agent that pulls data via `identify_company` and writes it directly to BigQuery using native Google Cloud tools. This lets you build automated pipeline dashboards.
Vinkius manages your API credentials securely in its zero-trust environment, so your Google ADK runtime only needs a single endpoint token. Raw email addresses and domains sent to `enrich_person` are processed in ephemeral sandboxes.

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