How to Use the HeyReach MCP in Google ADK

Q: Can Google ADK handle HeyReach campaign management?

The agent reads your campaign states via listcampaigns. It then uses pausecampaign or resumecampaign based on the logic you define in your Google Cloud environment.

Q: How does a Google ADK agent send LinkedIn messages through HeyReach?

It calls sendlinkedinmessage with a specific conversationId and text payload. Gemini drafts the reply based on the massive context it holds from your previous BigQuery interactions.

Q: Can I filter which tools the agent sees?

Yes. You use the toolnames filter in Google ADK to restrict access. If you only want the agent to read data, you expose listconversations and block the sending tools.

Feed BigQuery lead data into the HeyReach MCP Server using Google ADK to run massive LinkedIn campaigns.

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Connect HeyReach MCP to Google ADK

Create your Vinkius account to connect HeyReach 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 HeyReach with Google ADK

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Inject BigQuery leads into LinkedIn campaigns

The `add_leads_to_campaign` tool takes your scored prospects and pushes them straight into your outreach queue. Your Gemini agent queries your BigQuery tables, structures the names and profile URLs into a JSON array, and fires the import. You run `list_campaigns` first to grab the correct ID. Let's break it down. Since Gemini handles massive context windows, you process thousands of BigQuery rows in a single reasoning pass before the agent executes the HeyReach tool.

Track conversations with the HeyReach MCP Server

The `list_conversations` tool extracts recent LinkedIn inbox activity and feeds it to your Google ADK agent. The agent reads the entire history of replies across your connected accounts. You combine this with `get_lead_details` to pull specific profile data. The agent cross-references the LinkedIn reply with Vertex AI customer records to decide if the prospect is ready for a sales call.

Control sender accounts and campaign states

The `list_linkedin_accounts` tool identifies the exact sender profiles connected to your workspace. Your Gemini agent checks these accounts before assigning new outreach batches. If an account hits a rate limit, the agent triggers `pause_campaign` immediately. When the cooldown period ends, it fires `resume_campaign` to restart the sequence. Or just leave it paused until a human reviews the logs.

Setup guide

Set up HeyReach 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 HeyReach 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="HeyReach_agent",
    model="gemini-2.0-flash",
    instruction="You have access to HeyReach tools via MCP.",
    tools=mcp_tools,
)

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Common questions about HeyReach MCP in Google ADK

Install google-adk and create a McpToolset using StreamableHttpServerParameters. Pass this toolset into your LlmAgent initialization. The agent will automatically map the LinkedIn tools to its available actions.

The agent reads your campaign states via `list_campaigns`. It then uses `pause_campaign` or `resume_campaign` based on the logic you define in your Google Cloud environment.

It calls `send_linkedin_message` with a specific conversationId and text payload. Gemini drafts the reply based on the massive context it holds from your previous BigQuery interactions.

Yes. You use the tool_names filter in Google ADK to restrict access. If you only want the agent to read data, you expose `list_conversations` and block the sending tools.

The server handles sensitive inbox conversation text and profile URLs. Vinkius wraps the execution in a strict ephemeral container. No state persists after the agent receives the HTTP response.

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