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How to Use the Clearbit (HubSpot) MCP in Google ADK

Feed Clearbit (HubSpot) firmographics directly into Google ADK to power long-context Gemini agents with real-time B2B data.

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Google ADK

Connect Clearbit (HubSpot) MCP to Google ADK

Create your Vinkius account to connect Clearbit (HubSpot) 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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Process BigQuery leads with Google ADK

Point your Gemini agent at a massive BigQuery table of raw signups. The model reads the rows and fires off `find_person_and_company` via the MCP Server for every record to append missing firmographics. Because Gemini handles a million-plus tokens, you can dump thousands of enriched profiles into the context window at once. The agent synthesizes the entire dataset to identify common traits among your best prospects.

Deanonymize web traffic at scale

Send your server logs into the agent and let it execute `reveal_ip` to figure out which enterprise accounts are browsing your pricing page. The model cross-references those IPs against your known customer base. If the traffic looks sketchy, the agent runs `find_risk` to flag potential bots or bad actors. You get a clean list of verified corporate visitors ready for Vertex AI pipeline ingestion.

Build org charts via MCP Server

Tell your agent to research a specific domain using `find_company` to grab the baseline metrics. Once it knows the company size and industry, it triggers `get_prospects` to pull a list of vice presidents and directors. It can also check if the company exists on your radar by running `get_watchlist`. The whole workflow happens inside your Google Cloud environment, making it easy to dump the final org chart into a Cloud Storage bucket.

Setup guide

Set up Clearbit (HubSpot) 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 Clearbit (HubSpot) 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="Clearbit (HubSpot)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Clearbit (HubSpot) 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 Clearbit (HubSpot). 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 Clearbit (HubSpot) MCP in Google ADK

Install the google-adk package. Set up the connection using McpToolset with the StreamableHttpServerParameters class, pointing to your Vinkius URL. Pass that toolset into your LlmAgent initialization.
You control the exact surface area. You can use the tool_names parameter when setting up the toolset. This lets you restrict the agent to just autocomplete_company or find_person instead of exposing the entire API.
You can execute get_prospects across dozens of target accounts and feed all the resulting JSON back into Gemini. The massive context window absorbs the entire B2B dataset without forgetting earlier queries.
Every managed MCP integration runs inside an ephemeral V8 Isolate sandbox. We handle the Clearbit API keys on our end, so you only manage one zero-trust endpoint token.
The agent processes sensitive inputs like personal emails, IP addresses, and corporate domains. Vinkius routes this through a stateless container that executes the API call and vanishes, leaving no residual data behind.

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